Statistics Chapters 1 through 3

Determine whether the underlined number is a statistic or a parameter. In a study of all 3462 employees at a college, it is found that 35% own a computer. Choose the correct statement below. A.) Statistic because the value is a numerical measurement describing a characteristics of a population. B.) Statistic because the value is a numerical measurement describing a characteristic of a sample. C.) Parameter because the value is a numerical measurement describing a characteristic of a population. D.) Parameter because the value is a numerical measurement describing a characteristic of a sample.

C.) Parameter because the value is a numerical measurement describing a characteristic of a population.

The data represents the heights of eruptions by a geyser. Use the heights to construct a stemplot. Identify the two values that are closest to the middle when the data are sorted from lowest to highest. Height of eruption (in) 64 37 50 90 80 50 40 70 50 61 74 59 54 62 62 60 72 70 40 84 Which plot represents a stemplot of the data? Identify the two values that are closest to the middle when the data are sorted in order from lowest to highest. The values closest to the middle are ____ inches and _____ inches. (Type whole numbers. Use ascending order.)

For part one go to quiz 2 question 9 to see the picture Part two blank one 61 blank two 62

Use z scores to compare the given values. The tallest living man at one time had a height of 234 cm. The shortest living man at that time had a height of 81.7 cm. Height of men at that time had a mean of 173.74 cm and a standard deviation of 6.27 cm. Which of these two men had the height that was more extreme? Since the z score for the tallest man is z = ______ and the z score for the shortest man is z = ______, the _______ man had the height that was more extreme. (Round to two decimal places.)

First blank z = 9.61 Second blank z = -14.68 Third blank shortest

The following data show the ages of recent​ award-winning male actors at the time when they won their award. Make a frequency table for the​ data, using bins of​ 20-29, 30-39, and so on. Click the icon to view the ages of male actors. 30 54 28 64 48 57 44 30 43 59 38 43 55 40 38 45 68 50 76 36 48 41 38 42 41 31 30 40 44 33 31 61 45 38 Complete the table below Age No. of actors ​20-29 ______ ​30-39 ______ ​40-49 ______ ​50-59 ______ ​60-69 ______ ​70-79 ______

No. of actors 1 11 13 5 3 1

The data represents the daily rainfall​ (in inches) for one month. Construct a frequency distribution beginning with a lower class limit of 0.00 and use a class width of 0.20. Does the frequency distribution appear to be roughly a normal​ distribution? 0.34 0 0 0.24 0 0.49 0 0.19 0 0 1.32 0 0.14 0 0.02 0 0.15 0 0.19 0.47 0 0.01 0 0.21 0 0.08 0 0 0.21 0 Daily Rainfall (in inches) Frequency 0.00-0.19 ______ 0.20-0.39 ______ 0.40-0.59 ______ 0.60-0.79 ______ 0.80-0.99 ______ 1.00-1.19 ______ 1.20-1.39 ______ Does the frequency distribution appear to be roughly a normal​ distribution? A.) No, the distribution is not symmetric and the frequencies do not start off low. B.) Yes, all of the requirements are met. C.) ​No, although the distribution is approximately​ symmetric, the frequencies do not start​ low, increase to some maximum​ frequency, then decrease. D.) No, although the frequencies start​ low, increase to some​ maximum, then​ decrease, the distribution is not symmetric.

Part one Frequency 23 4 2 0 0 0 1 Part two A.) No, the distribution is not symmetric and the frequencies do not start off low.

The following are the ratings of males by females in an experiment involving speed dating. Use the given data to construct a boxplot and identify the 5-number summary. 3.0 3.0 4.0 4.5 5.0 5.0 6.0 6.0 6.0 6.0 6.0 7.0 7.0 8.0 8.0 8.0 9.0 9.5 9.5 9.5 The 5-number summary is ____, ___, ____, ____, and _____. (Use ascending order. Type integers or decimals. Do not round.) Which box plot below represents the data?

Part one 3.0, 5, 6, 8, and 9.5 Second part go to quiz 3 question 11 for picture of graph

The table shows the magnitudes of the earthquakes that have occurred in the past 10 years. Use the frequency distribution to construct a histogram. Does the histogram appear to be​ skewed? If​ so, identify the type of skewness. Earthquake magnitude Frequency ​ 5.0-5.9 12 ​ 6.0-6.9 14 ​ 7.0-7.9 7 ​ 8.0-8.9 5 ​9.0-9.9 3 The histogram ___________ so the distribution of the data is _________.

Part one go to picture question 21 homework 2 for graph Part two first blank has a longer right tail, second blank skewed to the right.

Which measure of variation is most sensitive to extreme​ values? Choose the correct answer below. A.) Median B.) Mean C.) Range D.) Histogram

C.) Range

Determine whether the sampling method described below appears to be sound or is flawed. In a survey of 546 ​subjects, each was asked how often he or she read a book. The survey subjects were internet users who responded to a question that was posted on a news website. Choose the correct answer below. A.) It is flawed because it is not statistically significant. B.) It is flawed because it is a census. C.) It appears to be sound because the data are not biased in any way. D.) It is flawed because it is a voluntary response sample.

D.) It is flawed because it is a voluntary response sample.

State whether the data described below are discrete or​ continuous, and explain why. The numbers of branch offices different banks have Choose the correct answer below. A.) The data are continuous because the data can only take on specific values. B.) The data are discrete because the data can take on any value in an interval. C.) The data are continuous because the data can take on any value in an interval. D.) The data are discrete because the data can only take on specific values.

D.) The data are discrete because the data can only take on specific values.

The data represents the body mass index​ (BMI) values for 20 females. Construct a frequency distribution beginning with a lower class limit of 15.0 and use a class width of 6.0. 17.7 33.5 26.4 25.8 23.9 28.1 23.5 18.3 29.7 23.4 19.2 21.4 24.3 37.7 35.3 28.3 44.9 31.5 29.9 23.9 Body Mass Index Frequency 15.0-20.9 _______ 21.0-26.9 _______ 27.0-32.9 _______ 33.0-38.9 _______ 39.0-44.9 _______

3 8 5 3 1

An editorial criticized a chart captain that described a dental floss as one of that "reduces the chance of plaque on teeth by over 350 percent". What is wrong with this statement? A.) If plaque fell by​ 100%, it would be cut in half.​ Thus, a decrease of​ 200% means that it would be totally​ eliminated, and a decrease of more than​ 200% is impossible. B.) A reduction of 100% would eliminate all plaque, so it is not possible to reduce it by more than 100%. C.) The actual amount of the decrease in plaque is less than​ 100%. D.) The statement does not mention the initial amount of plaque.

B.) A reduction of 100% would eliminate all plaque, so it is not possible to reduce it by more than 100%.

Use the following cell phone airport data speeds​ (Mbps) from a particular network. Find Q1. 0.2 0.2 0.2 0.3 0.3 0.3 0.4 0.4 0.5 0.5 0.6 0.7 0.7 0.8 0.8 0.8 0.9 1.1 1.2 1.3 1.7 1.8 2.3 2.3 2.4 2.6 2.7 3.1 3.6 3.9 4.3 4.7 4.9 5.7 6.9 10.2 10.5 10.6 11.7 11.8 12.3 12.3 12.4 14.3 14.4 14.4 14.9 15.2 15.9 25.8 Q1=______ Mbps (Type an integer or a decimal. Do not​ round.)

.7 Mbps

Use the following cell phone airport data speeds​ (Mbps) from a particular network. Find P90. 0.3 0.4 0.4 0.6 0.7 0.7 0.7 0.7 0.7 0.8 0.8 0.8 0.8 0.8 0.9 1.5 1.5 1.6 1.6 1.8 1.8 2.1 2.3 2.4 2.5 2.6 2.9 3.1 3.2 3.2 3.4 4.3 4.8 5.1 5.7 5.9 7.4 8.7 9.5 9.6 9.8 10.5 11.2 11.4 12.7 13.8 14.4 14.5 15.3 30.4 P90= _______ Mpbs (Type an integer or a decimal. Do not​ round.)

13.25 Mbps

One common system for computing a grade point average​ (GPA) assigns 4 points to an​ A, 3 points to a​ B, 2 points to a​ C, 1 point to a​ D, and 0 points to an F. What is the GPA of a student who gets an A in a 4​-credit ​course, a B in each of two 3​-credit ​courses, a C in a 3​-credit ​course, and a D in a 4​-credit ​course? The mean grade point score is _______. ​(Round to the nearest tenth as​ needed.)

2.6

Use the following cell phone airport data speeds​ (Mbps) from a particular network. Find the percentile corresponding to the data speed 13.9 Mbps. 0.1 0.3 0.4 0.4 0.4 0.4 0.4 0.5 0.5 0.5 0.6 0.7 0.8 0.9 0.9 1.1 1.1 1.4 1.5 1.6 1.8 2.2 2.4 2.8 2.8 2.9 3.3 3.9 4.9 5.4 7.1 8.2 9.6 9.7 11.6 12.2 12.5 12.7 12.7 13.1 13.5 13.6 13.9 14.6 14.8 15.1 15.2 15.7 15.8 25.1 Percentile of 13.9= ______ ​(Round to the nearest whole number as​ needed.)

84

A frequency table of grades has five classes​ (A, B,​ C, D,​ F) with frequencies of 3​, 11​, 18​, 4​, and 2 respectively. Using​ percentages, what are the relative frequencies of the five​ classes? Complete the table. Grade Frequency Relative frequency A 3 ____________% B 11 ____________% C 18 ____________% D 4 ____________% F 2 ____________% Round to the nearest decimal places as needed

A.) 7.89% B.) 28.95% C.) 47.37% D.) 10.53% F.) 5.26%

Identify the type of observational study​ (cross-sectional, retrospective, or​ prospective) described below. A research company uses a device to record the viewing habits of about 15,000 ​households, and the data collected over the next 5 years will be used to determine whether the proportion of households tuned to a particular children's program decreases. Which type of observational study is described in the problem​ statement? A.) A prospective study B.) A retrospective study C.) A cross-sectional study

A.) A prospective study

Determine whether the description corresponds to an observational study or an experiment. Fifty patients on dialysis are divided into two groups. One group receives an experimental drug to fight cancer, the other a placebo. After two years, kidney functionality is measured. Does the description correspond to an observational study or an experiment? A.) Experiment B.) Observational study

A.) Experiment

Determine whether the description corresponds to an observational study or an experiment. Research is conducted to determine if there is a relation between heart arrhythmias and caffeine consumption. Does the description correspond to an observational study or an experiment? A.) Observational study B.) Experiment

A.) Observational study

Determine which of the four levels of measurement (nominal, ordinal, interval, ratio) is most appropriate. Ranks of scores in a tournament Choose the correct level of measurement. A.) Ordinal B.) Nominal C.) Ratio D.) Interval

A.) Ordinal

Identify the type of sampling used (random, systematic, convenience, stratified, or cluster sampling) in the situation described below. A researcher selects every 485th social security number and surveys the corresponding person. Which type of sampling did the researcher use? A.) Systematic sampling B.) Cluster sampling C.) Stratified sampling D.) Random sampling E.) Convenience sampling

A.) Systematic sampling

Identify the type of sampling used​ (random, systematic,​ convenience, stratified, or cluster​ sampling) in the situation described below. A researcher selects every 916th social security number and surveys the corresponding person. Which type of sampling did the researcher ​use? A.) Systematic sampling B.) Convenience sampling C.) Random sampling D.) Cluster sampling E.) Stratified Sampling

A.) Systematic sampling

State whether the data described below are discrete or continuous, and explain why. The amounts of time that different brands batteries last in a CD player Choose the correct answer below. A.) The data are continuous because the data can take on any value in an interval. B.) The data are discrete because the data can take on any value in an interval. C.) The data are discrete because the data can only take on specific values. D.) The data are continuous because the data can only take on specific values.

A.) The data are continuous because the data can take on any value in an interval.

Determine whether the data described below are qualitative or quantitative and explain why. The material statuses of survey subjects Choose the correct answer below A.) The data are qualitative because they don't measure or count anything. B.) The data are quantitative because they consist of counts or measurements. C.) The data are quantitative because they don't measure or count anything. D.) The data are qualitative because they consist of counts or measurements.

A.) The data are qualitative because they don't measure or count anything.

Determine Whether the given description corresponds to an observational study or an experiment. In a study of 371 boys with a particular disease, the subjects drank herbal mixtures to determine if the mixtures have an effect on the disease. Does the given description correspond to an observational study or an experiment? A.) The given description corresponds to an experiment. B.) The given description corresponds to an observational study. C.) The given description does not provide enough information to answer this question.

A.) The given description corresponds to an experiment.

Determine whether the given description corresponds to an observational study or an experiment. In a study of 447 students with a particular​ disease, the subjects drank herbal mixtures to determine if the mixtures have an effect on the disease. Does the given description correspond to an observational study or an​ experiment? A.) The given description corresponds to an experiment. B.) The given description corresponds to an observational study. C.) The given description does not provide enough information to answer this question.

A.) The given description corresponds to an experiment.

What does it mean for the findings of a statistical analysis of data to be statistically​ significant? Choose the correct answer below. A.) The likelihood of getting these results by chance is very small. B.) The results do not make enough difference to be of use. C.) The outcome could easily occur by chance. D.) The results are very important to the health and​ well-being of a certain population.

A.) The likelihood of getting these results by chance is very small.

In a double-blind experiment designed to test the effectiveness of a new medication as a treatment for lower back pain, 1643 patients were randomly assigned to one of three groups (1) the 547 subjects in the placebo group were given pills containing no medication; (2) 550 subjects were in a group given pills with the new medication taken at regular intervals; (3) 546 subjects were in a group given pills with the new medication to be taken when needed for pain relief. What does it mean to say that the experiment was "double blind"? Choose the correct answer below. A.) The subjects in the study did not know whether they were taking a placebo or the new medication, and those who administered the pills also did not know. B.) Both the subjects in the study and those who administered the pills knew whether they were taking a placebo or the new medication. C.) The subjects in the study were given the choice of taking the placebo or the new medication, but those who administered the pills did not know which group the subjects were in. D.) The subjects in the study did not know whether they were taking a placebo or the new medication, but those who administered the pills did know.

A.) The subjects in the study did not know whether they were taking a placebo or the new medication, and those who administered the pills also did not know.

Heights of adult males are known to have a normal distribution. A researcher claims to have randomly selected adult males and measured their heights with the resulting relative frequency distribution as shown here. Identify two major flaws with these results. Height​ (cm) Relative Frequency 130-144 24​% 145-159 25​% 160-174 21​% 175-189 27​% 190-204 28​% Select all that apply. A.) The sum of the relative frequencies is 125​%, but it should be​ 100%, with a small possible​ round-off error. B.) All of the relative frequencies appear to be roughly the same. If they are from a normal​ distribution, they should start​ low, reach a​ maximum, and then decrease. C.) The classes do not allow for the possibility that an adult male could be less than 130 cm tall or greater than 204 cm tall. D.) All of the relative frequencies are different. If they are from a normal​ distribution, they should all be exactly the same. E.) The classes do not allow for the possibility that an adult male could be between 144 cm and 145 cm​ tall, or between 159 cm and 160 cm​ tall, and so on. F.) The relative frequencies were recorded as percent's instead of counts.

A.) The sum of the relative frequencies is 125​%, but it should be​ 100%, with a small possible​ round-off error. B.) All of the relative frequencies appear to be roughly the same. If they are from a normal​ distribution, they should start​ low, reach a​ maximum, and then decrease.

Refer to the definition of simple random sample available below and its accompanying definition of random sample enclosed within parentheses. Determine whether each of the following is a simple random sample and a random sample. a. A statistics class with 36 students is arranged so that there are 6 rows with 6 students in each​ row, and the rows are numbered from 1 through 6. A die is rolled and a sample consists of all students in the row corresponding to the outcome of the die. b. For the same class described in part​ (a), the 36 student names are written on 36 individual index cards. The cards are shuffled and six names are drawn from the top. c. For the same class described in part​ (a), the six youngest students are selected. A simple random sample of n subjects is selected in such a way that every possible sample of the same size n has the same chance of being chosen.​ (A simple random sample is often called a random​ sample, but strictly​ speaking, a random sample has the weaker requirement that all members of the population have the same chance of being​ selected.) a. This sample ______ a simple random sample. It _____ a random sample. b. This sample _____ a simple random sample. It _____ a random sample. c. This sample ______ a simple random sample. It _____ a random sample.

A.) is not, is B.) is, is C.) is not, is not

Determine whether the sampling method described below appears to be sound or is flawed. In a survey of 654 human resource​ professionals, each was asked about the importance of the experience of a job applicant. The survey subjects were randomly selected by pollsters from a reputable market research firm. Choose the correct answer below. A.) It is flawed because it is a census. B.) It appears to be sound because the data are not biased in any way. C.) It is flawed because it is not statistically significant. D.) It is flawed because it is a voluntary response sample.

B.) It appears to be sound because the data are not biased in any way.

Several studies showed that after eating 4 servings of dairy a day​, subjects had lowered risk of osteoporosis. A dairy farmer's organization financed this research. Identify what is wrong. Choose the correct answer below. A.) The data used in the studies is not reliable because it was not measured by the administrator. B.) It is questionable that the sponsor is a dairy farmer's organization because this sponsor can be greatly affected by the conclusion. C.) Since the research is composed of voluntary response​ samples, there may be key data points missing. D.) It is not possible to take accurate measurements.

B.) It is questionable that the sponsor is a dairy farmer's organization because this sponsor can be greatly affected by the conclusion.

Does the frequency distribution appear to have a nominal distribution using a strict interpretation of the relevant criteria? Temperature (F) Frequency 45-49 2 50-54 0 55-59 4 60-64 15 65-69 9 70-74 8 75-79 1 Does the frequency distribution appear to have a normal distribution? A.) No, the frequencies do not decrease from the maximum frequency to a low frequency. B.) No, the distribution does not appear to be normal. C.) Yes, all the requirements are met.

B.) No, the distribution does not appear to be normal.

Does the frequency distribution appear to have a normal distribution using a strict interpretation of the relevant​ criteria? Temperature ​(°​F) Frequency 45-49 3 50-54 0 55-59 5 60-64 14 65-69 7 70-74 5 75-79 1 Does the frequency distribution appear to have a normal​ distribution? A.) No, the frequencies do not decrease from the maximum frequency to a low frequency. B.) No​, the distribution does not appear to be normal. C.) Yes​, all the requirements are met.

B.) No​, the distribution does not appear to be normal.

Determine which of the following of the four levels of measurement (nominal, ordinal, interval, ratio) is most appropriate. The rankings of songs in the top 100 Choose the correct level of measurement. A.) Ratio B.) Ordinal C.) Interval D.) Nominal

B.) Ordinal

Identify the type of sampling used (random, systematic, convenience, stratified, or cluster sampling) in the situation described below. In a poll conducted by a certain research center, 1079 adults were called after their telephone numbers were randomly generated by a computer, and 71% were able to correctly identify the president. Which type of sampling did the research center use? A.) Systematic sampling B.) Random sampling C.) Stratified sampling D.) Convenience sampling E.) Cluster sampling

B.) Random sampling

Identify the type of sampling used (random, systematic, convenience, stratified, or cluster sampling) in the situation described below. In a poll conducted by certain research center, 902 adults were called after their telephone numbers were randomly generated by a computer, and 36% were able to correctly identify the president. Which type of sampling did the research center use? A.) Cluster sampling B.) Random sampling C.) Stratified Sampling D.) Systematic Sampling E.) Convenience sampling

B.) Random sampling

Identify the type of sampling used​ (random, systematic,​ convenience, stratified, or cluster​ sampling) in the situation described below. In a poll conducted by a certain research​ center, 1219 adults were called after their telephone numbers were randomly generated by a​ computer, and 98% were able to correctly identify the secretary of state. Which type of sampling did the research center​ use? A.) Convivence sampling B.) Random sampling C.) Systematic sampling D.) Stratified sampling E.) Cluster sampling

B.) Random sampling

Determine whether the underlined number is statistic or a parameter. A sample of students is selected and it is found that 35% own a vehicle. Choose the correct statement below. A.) Parameter because the value is a numerical measurement describing a characteristic of a population. B.) Statistic because the value is a numerical measurement describing a characteristic of a sample. C.) Parameter because the value is a numerical measurement describing a characteristic of a sample. D.) Statistic because the value is a numerical measurement describing a characteristic of a population.

B.) Statistic because the value is a numerical measurement describing a characteristic of a sample.

Identify the type of sampling used (random, systematic, convenience, stratified, or cluster sampling) in the situation described below. A researcher selects every 305th social security number and surveys the corresponding person. Which type of sampling did the researcher use? A.) Convenience sampling B.) Systematic sampling C.) Stratified sampling D.) Cluster sampling E.) Random Sampling

B.) Systematic sampling

State whether the data described below are discrete or continuous, and explain why. The number of car accidents on a given stretch of highways each year Choose the correct answer below. A.) The data are discrete because the data can take on any values in an interval. B.) The data are discrete because the data can only take on specific values. C.) The data are continuous because the data can only take on specific values. D.) The data are continuous because the data can take on any value in an interval.

B.) The data are discrete because the data can only take on specific values.

Determine whether the given description corresponds to an observational study or an experiment. In a study of 450 women with a particular disease, the subjects drank herbal mixtures to determine if the mixtures have an effect on the disease. Does the given description correspond to an observational study or an experiment? A.) The given description corresponds to an observational study. B.) The given description corresponds to an experiment. C.) The given description does not provide enough information to answer this question.

B.) The given description corresponds to an experiment.

Determine whether the given value is a statistic or a parameter. A homeowner measured the voltage supplied to his home on all 7 days of a given week, and the average (mean) value is 149.4 volts. Choose the correct answer below. A.) The given value is a statistic for the week because the data collected represent a sample. B.) The given value is a parameter for the week because the data collected represent a population. C.) The given value of statistic for the week because the data collected represent a population. D.) The given value is a parameter for the week because the data collected represent a sample.

B.) The given value is a parameter for the week because the data collected represent a population.

Determine whether the given value is a statistic, or a parameter. A homeowner measured the voltage supplied to his home on 25 days of a given month, and the average (mean) value is 141.5 volts. Choose the correct answer below. A.) The given value is a parameter for the month because the data collected represent a population. B.) The given value is a statistic for the month because the data is collected represent a sample. C.) The given value is a statistic for the month because the data collected represent a population. D.) The given value is a parameter for the month because the data collected represent a sample.

B.) The given value is a statistic for the month because the data is collected represent a sample.

The IQ score and brain volume are listed for each of five different subjects. Refer to the table of measurements below. Given that the data are matched and considering the units of the​ data, does it make sense to use the difference between each IQ score and brain volume that is in the same​ column? Why or why​ not? IQ Score and Brain Volume subject 1 2 3 4 5 IQ score 123 114 103 112 79 Brain Volume (cm3) 1107 1182 1014 1160 1119 Choose the correct answer below. A.) Yes, it does make sense to use the difference between each IQ score and brain volume in the same​ column, because they are measurements obtained from the same person. B.) No, it does not make sense to use the difference between each IQ score and brain volume in the same​ column, because IQ scores and brain volumes use different units of measurement. C.) Yes, it does make sense to use the difference between each IQ score and brain volume in the same​ column, because high IQ is caused by large brain volume. D.) No, it does not make sense to use the difference between each IQ score and brain volume in the same​ column, because the terms should be added.

B.) ​No, it does not make sense to use the difference between each IQ score and brain volume in the same​ column, because IQ scores and brain volumes use different units of measurement.

Use z scores to compare the given values. Based on sample​ data, newborn males have weights with a mean of 3269.7 g and a standard deviation of 798.9 g. Newborn females have weights with a mean of 3015.7 g and a standard deviation of 469.4 g. Who has the weight that is more extreme relative to the group from which they​ came: a male who weighs 1700 g or a female who weighs 1700 ​g? Since the z score for the male is z= _______ and the z score for the female is z= ________ the _______ has the weight that is more extreme. ​(Round to two decimal​ places.)

Blank one Z= -1.96 Blank two Z= -2.80 Blank three female

A researcher was once criticized for falsifying data. Among his data were figures obtained from 6 groups of subjects​, with 25 individual subjects in each group. These values were given for the percentage of successes in each​ group: 53%,​ 58%, 63%, ​46%, 48%, 67% . ​What's wrong with those​ values? Choose the correct answer below. A.) All percentages of success should be multiples of 6. The given percentages cannot be correct. B.) All percentages of success should be multiples of 50. The given percentages cannot be correct. C.) All percentages of success should be multiples of 4. The given percentages cannot be correct. D.) All percentages of success should be multiples of 25. The given percentages cannot be correct.

C.) All percentages of success should be multiples of 4. The given percentages cannot be correct.

Which of the following is always​ true? Choose the correct answer below. A.) Data skewed to the right have a longer left tail than right tail. B.) The mean and median should be used to identify the shape of the distribution. C.) In a symmetric and​ bell-shaped distribution, the​ mean, median, and mode are the same. D.) For skewed​ data, the mode is farther out in the longer tail than the median.

C.) In a symmetric and​ bell-shaped distribution, the​ mean, median, and mode are the same.

Determine whether the underlined number is a statistic or a parameter. In a study of all 3462 employees at a college, it is found that 35% own a computer. Choose the correct statement below. A.) Statistic because the value is a numerical measurement describing a characteristic of a population. B.) Statistic because the value is a numerical measurement describing a characteristic of a sample. C.) Parameter because the value is a numerical measurement describing a characteristic of a population, D.) Parameter because the value is a numerical measurement describing a characteristic of a sample.

C.) Parameter because the value is a numerical measurement describing a characteristic of a population.

When testing a new treatment, what is the difference between statistical significance and practical significance? Can a treatment have statistical significance, but not practical significance? A.) Statistical significance is related to whether common sense suggests that the treatment makes enough of a difference to justify its use. Practical significance is achieved when the result is very unlikely to occur by chance. It is possible for a treatment to have statistical significance, but not practical significance. B.) Statistical significance is achieved when the result is very unlikely to occur by chance. Practical significance is related to whether common sense suggests that the treatment makes enough of a difference to justify its use. It is not possible for a treatment to have statistical significance, but not practical significance. C.) Statistical significance is achieved when the result is very unlikely to occur by chance. Practical significance is related to whether common sense suggests that the treatment makes enough of a difference to justify its use. It is possible for a treatment to have statistical significance, but not practical significance. D.) Statistical significance is related to whether common sense suggests that the treatment makes enough of a difference to justify its use. Practical significance is achieved when the result is very unlikely to occur by chance it is not possible for a treatment to have statistical significance, but not practical significance.

C.) Statistical significance is achieved when the result is very unlikely to occur by chance. Practical significance is related to whether common sense suggests that the treatment makes enough of a difference to justify its use. It is possible for a treatment to have statistical significance, but not practical significance.

State whether the data described below are discrete or continuous, and explain why. The number of car accidents on a given stretch of highway each year Choose the correct answer below. A.) The data are continuous because the data can only take on specific values. B.) The data are discrete because the data can take on any value in an interval. C.) The data are discrete because the data can only take on specific values. D.) The data are continuous because the data can take on any value in an interval.

C.) The data are discrete because the data can only take on specific values.

Determine which of the four levels of measurement (nominal, ordinal, interval, ratio) is most appropriate for the data below. Types of movies (drama, comedy, adventure, documentary, etc.) Choose the correct answer below. A.) The ordinal level of measurement is most appropriate because the data can be ordered, but differences (obtained by subtraction) cannot be found or are meaningless. B.) The interval level of measurement is most appropriate because the data can be ordered, differences (obtained by subtraction) can be found and are meaningful, and there is no natural starting point. C.) The nominal level of measurement is most appropriate because the data cannot be ordered. D.) The ratio level of measurement is most appropriate because all the data can be ordered, differences (obtained by subtraction) can be found and are meaningful, and there is a natural starting point.

C.) The nominal level of measurement is most appropriate because the data cannot be ordered.

An article noted that chocolate is rich in flavonoids. The article reports that​ "regular consumption of foods rich in flavonoids may reduce the risk of coronary heart​ disease." The study received funding from a candy company and a chocolate manufacturers association. Identify and explain at least one source of bias in the study described. Then suggest how the bias might have been avoided. Choose the correct answer below. A.) The questions used in the study might have caused the respondents to give inaccurate or dishonest responses. The question wording should be changed to be more neutral. B.) The data do not seem to support the claims being made by the article. The​ article's author should consult an expert to make sure that he or she is correctly interpreting the​ study's results. C.) The researchers may have been more inclined to provide favorable results because funding was provided by a party with a definite interest. The bias could have been avoided if the researchers were not paid by the candy company and the chocolate manufacturers. D.) Since the sample is​ self-selected, there is a definite participation bias in this study. The researchers should randomly select the subjects of the study.

C.) The researchers may have been more inclined to provide favorable results because funding was provided by a party with a definite interest. The bias could have been avoided if the researchers were not paid by the candy company and the chocolate manufacturers.

A defunct website listed the​ "average" annual income for Florida as​ $35,031. What is the role of the term average in​ statistics? Should another term be used in place of​ average? Choose the correct answer below. A.) The term average is often used in statistics to represent the median. B.) The term average is not used in statistics. The term median should be used for the result obtained by adding all of the sample values and dividing by the total number of sample values. C.) The term average is not used in statistics. The term mean should be used for the result obtained by adding all of the sample values and dividing by the total number of sample values. D.) The term average is often used in statistics to represent the mean.

C.) The term average is not used in statistics. The term mean should be used for the result obtained by adding all of the sample values and dividing by the total number of sample values.

The population of ages at inauguration of all U.S. Presidents who had professions in the military is​ 62, 46,​ 68, 64, 57. Why does it not make sense to construct a histogram for this data​ set? Choose the correct answer below. A.) There must be an even number of data values in the data set to create a histogram. B.) This data set would yield a histogram that is not​ bell-shaped. C.) With a data set that is so​ small, the true nature of the distribution cannot be seen with a histogram. D.) Adequate class boundaries for a histogram cannot be found with this data set.

C.) With a data set that is so​ small, the true nature of the distribution cannot be seen with a histogram.

In the data table​ below, the​ x-values are the weights​ (in pounds) of cars and the​ y-values are the corresponding highway fuel consumption amounts​ (in mi/gal). Weight (Ib) 4051 3345 4117 3675 3503 Highway fuel consumption (mi/gal) 27 31 29 29 30 Comment on the source of the data if you are told that car manufacturers supplied the values. Is there an incentive for car manufacturers to report values that are not​ accurate? Choose the correct answer below. A.) Yes, because​ consumers, in​ general, do not care about the weight of their car. In this​ case, the source of the data would be suspect with a potential for bias. B.) No, because​ consumers, in​ general, would prefer to buy a car with a higher level of fuel efficiency. In this​ case, the source of the data would not be suspect and there would be no potential for bias. C.) Yes, because​ consumers, in​ general, would prefer to buy a car with a higher level of fuel efficiency. In this​ case, the source of the data would be suspect with a potential for bias. D.) ​No, because​ consumers, in​ general, do not care about the weight of their car. In this​ case, the source of the data would not be suspect and there would be no potential for bias.

C.) Yes, because​ consumers, in​ general, would prefer to buy a car with a higher level of fuel efficiency. In this​ case, the source of the data would be suspect with a potential for bias.

Identify the type of observational study. A researcher plans to obtain data by examining the financial transactions of victims who perished in a tornado. Choose the correct type of observational study below. A.) prospective B.) cross-sectional C.) retrospective

C.) retrospective

Construct the cumulative frequency distribution for the given data. Age​ (years) of Best Actress when award was won Frequency 20-29 28 ​30-39 33 40-49 15 ​50-59 3 ​ 60-69 7 ​ 70-79 1 ​ 80-89 2 Age​ (years) of Best Actress when award was won Cumulative Frequency Less than 30 ________ Less than 40 _______ Less than 50 _______ Less than 60 _______ Less than 70 _______ Less than 80 _______ Less than 90 _______

Cumulative Frequency 28 61 76 79 86 87 89

Construct the cumulative frequency distribution for the given data. Daily Low ​(°​F) Frequency ​35-39 1 ​40-44 2 ​45-49 5 ​50-54 10 ​55-59 9 ​60-64 6 ​65-69 1 Construct the cumulative frequency distribution. Daily Low Temperature ​(°​F) Cumulative Frequency Less than 40 __________ Less than 45 _________ Less than 50 ________ Less than 55 _______ Less than 60 ________ Less than 65 ________ Less than 70 _______

Cumulative Frequency 1 3 8 18 27 33 34

The IQ score and brain volume are listed for each of five different subjects. Refer to the table measurements below. Given that the data are matched and considering the units of the data, does it make sense to use the difference between each IQ score and brain volume that is in the same column? Why or why not? IQ Scores and Brain Volumes Subject 1 2 3 4 5 IQ Score 77 75 110 92 88 Brain Volume (cm^3) 1170 1086 1010 1178 1085 Choose the correct answer below. A.) Yes, it does make sense to use the difference between each IQ score and brain volume in the same column, because high IQ is caused by large brain volume. B.) No, it does not make sense to use the difference between each IQ score and brain volume in the same column, because the terms should be added. C.) Yes, it does make sense to use the difference between each IQ score and brain volume in the same column, because they are measurements obtained from the same person. D.) No, it does not make sense to use the difference between each IQ score and brain volume in the same column, because IQ scores and brain volumes use different units of measurement.

D.) No, it does not make sense to use the difference between each IQ score and brain volume in the same column, because IQ scores and brain volumes use different units of measurement.

The IQ score and brain volume are listed for each of five different subjects. Refer to the table of measurements below. Given that the data are matched and considering the units of the data, does it make sense to use difference between each IQ score and brain volume that is in the same column? Why or why not? IQ Score and Brain Volume Subject 1 2 3 4 5 IQ Score 100 108 97 113 123 Brain Volume (cm^3) 1100 1048 1015 1080 1078 Choose the correct answer below. A.) Yes, it does make sense to use the difference between each IQ score and brain volume in the same column, because high IQ is caused by large brain volume. B.) No, it does not make sense to use the difference between each IQ score and brain volume in the same column, because the terms should be added. C.) Yes, it does make sense to use the difference between each IQ score and brain volume in the same column, because they are measurements obtained from the same person. D.) No, it does not make sense to use the difference between each IQ score and brain volume in the same column, because IQ scores and brain volumes use different units of measurement.

D.) No, it does not make sense to use the difference between each IQ score and brain volume in the same column, because IQ scores and brain volumes use different units of measurement.

Determine whether the data described below are qualitative or quantitative and explain why. The weights of subjects in a clinical trial of a new drug Choose the correct answer below. A.) The data are qualitative because they don't measure or count anything. B.) The data are qualitative because they consist of counts or measurements. C.) The data are quantitative because they don't measure or count anything. D.) The data are quantitative because they consist of counts or measurements.

D.) The data are quantitative because they consist of counts or measurements.

Determine whether the given value is a statistic or a parameter. A homeowner measured the voltage supplied to his home on one day a week for a given year, and the average (mean) value is 119.1 volts. Choose the correct answer below. A.) The given value is parameter for the year because the data collected represent a population. B.) The given value is a statistic for the year because the data collected represent a population. C.) The given value is a parameter for the year because the data collected represents a sample. D.) The given value is a statistic for the year because the data collected represent a sample.

D.) The given value is a statistic for the year because the data collected represent a sample.

Determine which of the four levels of measurement (nominal, ordinal, interval, ratio) is most appropriate for the data below. Companies that produced movies in 2007 Choose the correct answer below. A.) The interval level of measurement is most appropriate because the data can be ordered, differences (obtained by subtraction) B.) The ratio level of measurement is most appropriate because the data can be ordered, differences (obtained by subtraction) can be found and are meaningful, and there is a natural starting point. C.) The ordinal level of measurement is most appropriate because the data can be ordered, but differences (obtained by subtraction) cannot be found or are meaningless. D.) The nominal level of measurements is most appropriate because the data cannot be ordered.

D.) The nominal level of measurements is most appropriate because the data cannot be ordered.

In a double-blind experiment designed to test the effectiveness of a new medication as a treatment for lower back pain, 1643 patients were randomly assigned to one of three groups: (1) the 547 subjects in the placebo group were given pills containing no medication; (2) 550 subjects were in a group given pills with the new medication taken at regular intervals; (3) 546 subjects were in a group given pills with the new medication to be taken when needed for pain relief. What does it mean to say that the experiment was "double blind"? Choose the correct answer below. A.) The subjects in the study were given the choice of taking the placebo or the new medication, but those who administered the pills did not know which group the subjects were in. B.) The subjects in the study did not know whether they were taking a placebo or the new medication, but those who administered the pills did know. C.) Both the subjects in the study and those who administered the pills knew whether they were taking a placebo or the new medication. D.) The subjects in the study did not know whether they were taking a placebo or the new medication, and those who administered the pills also did not know.

D.) The subjects in the study did not know whether they were taking a placebo or the new medication, and those who administered the pills also did not know.

Determine whether the source given below has the potential to create a bias in a statistical study. A certain medical organization tends to oppose the use of meat and dairy products in our​ diets, and that organization has received hundreds of thousands of dollars in funding from an animal rights foundation. Choose the correct answer below. A.) There does not appear to be a potential to create a bias. The organization would not gain from putting spin on the results. B.) There does appear to be a potential to create a bias. There is an incentive to make the results statistically insignificant. C.) There does not appear to be a potential to create a bias. The organization is reputable and has many professional and credible members. D.) There does appear to be a potential to create a bias. There is an incentive to produce results that are in line with the​ organization's creed and that of its funders.

D.) There does appear to be a potential to create a bias. There is an incentive to produce results that are in line with the​ organization's creed and that of its funders.

Determine whether the source given below has the potential to create a bias in a statistical study. Washington University obtained word counts from the most popular novels of the past five years. Choose the correct answer below. A.) There does appear to be a potential to create a bias. There is an incentive to make the results statistically insignificant. B.) There does not appear to be a potential to create a bias. The organization is reputable and has many professional and credible members. C.) There does appear to be a potential to create a bias. There is an incentive to produce results that are in line with the​ organization's creed and that of its funders. D.) There does not appear to be a potential to create a bias. The organization would not gain from putting a spin on the results.

D.) There does not appear to be a potential to create a bias. The organization would not gain from putting a spin on the results.

Refer to the table of body temperatures​ (degrees Fahrenheit). Is there some meaningful way in which each body temperature recorded at 8 AM is matched with the 12 AM​ temperature? Subject 1 2 3 4 5 8 AM 97.0 98.5 97.6 97.7 98.7 12 AM 97.6 97.8 98.0 98.4 98.4 Choose the correct answer below. A.) Yes. The 8 AM temperatures are all from one individual over five days and the 12 AM temperatures are from the same individual on the same five​ days, so each pair is matched. B.) Yes. The 8 AM temperatures are all from one individual over five days and the 12 AM temperatures are from a different individual on the same five​ days, so each pair is matched. C.) No. The 8 AM temperatures are from one individual over five days and the 12 AM temperatures are from another individual over five days. D.) Yes. Each column of 8 AM and 12 AM temperatures is recorded from the same​ subject, so each pair is matched.

D.) Yes. Each column of 8 AM and 12 AM temperatures is recorded from the same​ subject, so each pair is matched.

If your score on your next statistics test is converted to a z​ score, which of these z scores would you​ prefer: −​2.00, −​1.00, ​0, 1.00,​ 2.00? Why? A.) The z score of 1.00 is most preferable because it is 1.00 standard deviation above the mean and would correspond to an above average test score. B.) The z score of −2.00 is most preferable because it is 2.00 standard deviations below the mean and would correspond to the highest of the five different possible test scores. C.) The z score of 0 is most preferable because it corresponds to a test score equal to the mean. D.) The z score of −1.00 is most preferable because it is 1.00 standard deviation below the mean and would correspond to an above average test score. E.) The z score of 2.00 is most preferable because it is 2.00 standard deviations above the mean and would correspond to the highest of the five different possible test scores.

E.) The z score of 2.00 is most preferable because it is 2.00 standard deviations above the mean and would correspond to the highest of the five different possible test scores.

Identify which of these designs is most appropriate for the given​ experiment: completely randomized​ design, randomized block​ design, or matched pairs design. ​Currently, there is no approved vaccine for the prevention of infection by a certain virus. A clinical trial of a possible vaccine is being planned to include subjects treated with the vaccine while other subjects are given a placebo. The most appropriate is _______________ design.

Fill in the blank completely randomized

Identify which of these designs is most appropriate for the given​ experiment: completely randomized​ design, randomized block​ design, or matched pairs design. A drug is designed to treat insomnia. In a clinical trial of the​ drug, amounts of sleep each night are measured before and after subjects have been treated with the drug. The most appropriate is ______________ design.

Fill in the blank matched pairs

For a data set of brain volumes (cm^3) and IQ scores of seven males, the linear correlation coefficient is r= 0.965. Use the table available below to find the critical values of r. Based on a comparison of the linear correlation coefficient r and the critical values, what do you conclude about a linear correlation? Click on the icon to view the table of critical values of r. The critical values are __________. (type the integers or decimals. Do not round. use a comma to separate answers as needed.) Since the correlation coefficient r is ___________, there _________ sufficient evidence to support the claim of a linear correlation.

First blank -0.754, 0.754 Second blank in the right tail above the positive critical value, Third blank is

A study of an association between which ear is used for cell phone calls and whether the subject is​ left-handed or​ right-handed began with a survey​ e-mailed to 5000 people belonging to an otology online​ group, and 717 surveys were returned.​ (Otology relates to the ear and​ hearing.) What percentage of the 5000 surveys were​ returned? Does that response rate appear to be​ low? In​ general, what is a problem with a very low response​ rate? Of the 5000​ surveys, _____% were returned. This response rate ______ to be low. ​(Round to the nearest whole number as​ needed.) In​ general, what is a problem with a very low response​ rate? A.) It indicates a lack of blinding which creates a serious potential for getting a biased sample. B.) It indicates that the study is unimportant and that the researchers should move on to other studies. C.) It creates a serious potential for getting a biased sample that consists of those with a special interest in the topic. D.) It creates a serious potential for confounding which creates a serious potential for erroneous conclusions.

First blank 14.% Second blank Appears Third part C.) It creates a serious potential for getting a biased sample that consists of those with a special interest in the topic.

Refer to the table summarizing service times (seconds) of dinners at a fast food restaurant. How many individuals are included in the summary? Is it possible to identify the exact values of all of the original service times? Time (sec) Frequency 60 - 119 9 120 - 179 22 180 - 239 14 240 - 299 1 300 - 359 6 _______ individuals are included in the summary. ( type a whole number.) Is it possible to identify the exact values of all of the original service times? A.) No. The data values in each class could take on any value between the class limits, inclusive. B.) No. The Frequency distribution tells nothing about the data values that fall below the lowest class limit or above the highest class limit. C.) Yes. The data values in each class are spread evenly across the full length of the class. D.) Yes. The data values in each class are equal to the corresponding class midpoint.

First blank 52 Second part A.) No. The data values in each class could take on any value between the class limits, inclusive.

Refer to the table summarizing service times​ (seconds) of dinners at a fast food restaurant. How many individuals are included in the​ summary? Is it possible to identify the exact values of all of the original service​ times? Time sec Frequency 60-119 8 120-179 24 180-239 16 240-299 1 300-359 6 ________ individuals are included in the summary. ​(Type a whole​ number.) Is it possible to identify the exact values of all of the original service​ times? A.) No. The data values in each class could take on any value between the class​ limits, inclusive. B.) No. The frequency distribution tells nothing about the data values that fall below the lowest class limit or above the highest class limit. C.) Yes. The data values in each class are spread evenly across the full length of the class. D.) Yes. The data values in each class are equal to the corresponding class midpoint.

First blank 55 Second part A.) No. The data values in each class could take on any value between the class​ limits, inclusive.

According to a random sample taken at 12​ A.M., body temperatures of healthy adults have a​ bell-shaped distribution with a mean of 98.27°F and a standard deviation of 0.58°F. Using​ Chebyshev's theorem, what do we know about the percentage of healthy adults with body temperatures that are within 2 standard deviations of the​ mean? What are the minimum and maximum possible body temperatures that are within 2 standard deviations of the​ mean? At least _______% of healthy adults have body temperatures within 2 standard deviations of 98.27°F. ​(Round to the nearest percent as​ needed.) The minimum possible body temperature that is within 2 standard deviations of the mean is _______°F. ​(Round to two decimal places as​ needed.) The maximum possible body temperature that is within 2 standard deviations of the mean is ________°F. ​(Round to two decimal places as​ needed.)

First blank 75% Second blank 97.11 Third blank 99.43

Determine whether the results appear to have statistical​ significance, and also determine whether the results appear to have practical significance. In a study of a birth sex selection method used to increase the likelihood of a baby being born​ female, 1955 users of the method gave birth to 960 males and 995 females. There is about a 22​% chance of getting that many babies born female if the method had no effect. Because there is a 22​% chance of getting that many babies born female if the method had no​ effect, the method ________________. ____________ couples would likely use a procedure that raises the likelihood of a baby born female from the approximately​ 50% rate expected by chance to the _____​% produced by this method. ​(Round to the nearest integer as​ needed.) S​o, this method _________________.

First blank does not have statistical significance Second blank Not many Third blank 51% Fourth blank does not have practical significance.

Determine whether the study is an experiment or an observational​ study, and then identify a major problem with the study. A study involved​ 22,071 male physicians. Based on random​ selections, 11,037 of them were treated with aspirin and the other​ 11,034 were given placebos. The study was stopped early because it became clear that aspirin reduced the risk of myocardial infarctions by a substantial amount. This is an ____________ because the researchers ____________ the individuals. What is a major problem with the​ study? A.) The results apply only to individuals with heart disease. B.) This is a convenience sample with voluntary​ response, which has a high chance of leading to bias. C.) The results apply only to male physicians. D.) There is no blinding or​ replication, which has a high chance of leading to bias.

First blank experiment Second blank apply a treatment to Third part C.) The results apply only to male physicians.

Identify the level of measurement of the data, and explain what is wrong with the given calculation. In a survey, the favorite foods of respondents are identified as 0 for Italian food, 1 for Mexican food, 2for Chinese food, and 3 for anything else. The average (mean) is calculated for 573 respondents and the result is 1.1. The data are at the ________ level of measurement. What is wrong with the given calculation? A.) The true average (mean) is 1.3. B.) Such data are not counts or measures of anything, so the average (mean) needs to be computed in a different way. C.) Such data are not counts or measures of anything, so it makes no sense to compute their average (mean). D.) There is nothing wrong with the given calculation.

First blank nominal Part two C.) Such data are not counts or measures of anything, so it makes no sense to compute their average (mean).

Identify the level of measurements of the data, and explain what is wrong with the given calculation. In a survey, the eye colors of responders are identified as 0 for brown eyes, 1 for blue eyes, 2 for green eyes, and 3 for everything else. The average (mean) is calculated for 788 respondents and the result is 1.1. The data are at the _________ level of measurement. What is wrong with the given calculation? A.) The true average (mean) is 1.3. B.) Such data are not counts or measurements of anything, so it makes no sense to compute their average (mean). C.) Such data are not counts or measurements of anything, so the average (mean) needs to be computed in a different way. D.) There is nothing wrong with the given calculation.

First blank nominal Part two B.) Such data are not counts or measurements of anything, so it makes no sense to compute their average (mean).

Determine whether the study is an experiment or an observational study, and then identify a major problem with the study. In a survey, 1465 internet users chose to respond to this question posted on a newspaper's electronic edition: "Is news online as satisfying as print and TV news?" 52% of the responders said "yes". This is an ___________ because the researchers ____________ the individuals. What is a major problem with this study? A.) The results apply only to internet users. B.) There is no blinding or replication, which has a high chance of leading to bias. C.) The sample is not very large. D.) This is a convenience sample with voluntary response, which has a high chance of leading to bias.

First blank observational study Second blank do not attempt to modify Third part D.) This is a convenience sample with voluntary response, which has a high chance of leading to bias.

Determine whether the study is an experiment or an observational study, and then identify a major problem with the study. In a survey, 1465 internet users chose to respond to this question posted on a newspaper's electronic edition: "Is news online as satisfying as print and TV news?" 52% of the respondents said "yes." This is an _________ because the researchers _________ the individuals. What is a major problem with the study? A.) There is no blinding or replication, which has a high chance of leading to bias. B.) This is a convenience sample with voluntary response, which has a high chance of leading to bias. C.) The sample is not very large. D.) The results apply only to internet users.

First blank observational study Second blank do not attempt to modify Third part B.) This is a convenience sample with voluntary response, which has a high chance of leading to bias.

Determine whether the study is an experiment or an observational​ study, and then identify a major problem with the study. A sociologist has created a brief survey to be given to 2000 adults randomly selected from the U.S. population. Here are her first two​ questions: (1) Have you ever been the victim of a felony​ crime? (2) Have you ever been convicted of a​ felony? This is an ______________ because the researcher ____________ the individuals. What is a major problem with the​ study? A.) There is no blinding or​ replication, which has a high chance of leading to bias. B.) The responses will be​ voluntary, which will lead to a high chance of bias. C.) Individuals convicted of a felony are more likely to not answer the second question honestly. D.) The sample includes only U.S. adults.

First blank observational study Second blank does not attempt to modify Third part C.) Individuals convicted of a felony are more likely to not answer the second question honestly.

Determine whether the study is an experiment or an observational​ study, and then identify a major problem with the study. A medical researcher tested for a difference in systolic blood pressure levels between male and female students who are 12 years of age. She randomly selected four males and four females for her study. This is an ____________ because the researcher _____________ the individuals. What is a major problem with the​ study? A.) There is no​ blinding, which has a high chance of leading to bias. B.) The sample includes male and female students. C.) This is a convenience sample with voluntary​ response, which has a high chance of leading to bias. D.) The sample is too small.

First blank observational study Second blank does not attempt to modify Third part D.) The sample is too small.

Construct one table that includes relative frequencies based on the frequency distributions shown​ below, then compare the amounts of tar in nonfiltered and filtered cigarettes. Do the cigarette filters appear to be​ effective? (Hint: The filters reduce the amount of tar ingested by the​ smoker.) Tar​ (mg) in Tar​ (mg) in Nonfiltered Filtered Cigarettes Frequency Cigarettes Frequency 15−18 2 7−10 2 19−22 2 11−14 2 23−26 14 15−18 6 27−30 6 19−22 15 31-34 1 Complete the relative frequency table below. Relative Relative Frequency Frequency Tar​ (mg) (nonfiltered) (filtered) 7 - 10 _____% _____% 11 - 14 _____% ______% 15 - 18 ______% ______% 19 - 22 _______% _______% 23 - 26 ______% ______% 27 - 30 ______% ______% 31 - 34 _______% ______% ​(Simplify your​ answers.) Do cigarette filters appear to be​ effective? A.) No, because the relative frequencies for each are not substantially different. B.) Yes, because the relative frequency of the higher tar classes is greater for nonfiltered cigarettes. C.) No, because the relative frequency of the higher tar classes is greater for filtered cigarettes. D.) This cannot be determined.

First part 0% 8% 0% 8% 8% 24% 8% 60% 56% 0% 24% 0% 4% 0% Second part B.) Yes, because the relative frequency of the higher tar classes is greater for nonfiltered cigarettes.

Identify the lower class​ limits, upper class​ limits, class​ width, class​ midpoints, and class boundaries for the given frequency distribution. Also identify the number of individuals included in the summary. Blood Platelet Count of Males ​(1000 ​cells/μ​L) Frequency 0​-99 3 100​-199 53 200​-299 93 300​-399 18 400​-499 0 500​-599 1 600​-699 0 Identify the lower class limits​ (in 1000 ​cells/μ​L). ______, ______, ______, ______, _____, _____, _____ ​(Type integers or decimals. Do not round. Use ascending​ order.) Identify the upper class limits​ (in 1000 ​cells/μ​L). _____, _____, ______, ______, _____, ______, ______ ​(Type integers or decimals. Do not round. Use ascending​ order.) Identify the class width​ (in 1000 ​cells/μ​L). _____ (Type an integer or a decimal. Do not​ round.) Identify the class midpoints​ (in 1000 ​cells/μ​L). ______, _____, ______, _______, ______, _______, ______ ​(Type integers or decimals. Do not round. Use ascending​ order.) Identify the class boundaries​ (in 1000 ​cells/μ​L). _____, _____, ______, ______, ______, ______, ______ ​(Type integers or decimals. Do not round. Use ascending​ order.) Identify the number of individuals included in the summary. _____ ​(Type an integer or a decimal. Do not​ round.)

First part 0, 100, 200, 300, 400, 500, 600 Second part 99, 199, 299, 399, 499, 599, 699 Third part 100 Fourth part 49.5, 149.5, 249.5, 349.5, 449.5, 549.5, 649.5 Fifth part -5.0, 99.5, 199.5, 299.5, 399.5, 499.5. 599.5, 699.5 Sixth part 168

Weights of statistics students were obtained by a teacher as part of an experiment conducted for the class. The last digit of those weights are listed below. Construct a frequency distribution with 10 classes. Based on the distribution, do the weights appear to be reported or actually measured? What can be said about the accuracy of the results? 0 0 0 0 0 0 0 0 1 1 2 2 3 4 4 4 5 5 5 5 5 5 5 5 5 5 6 8 8 8 9 3 ____ 8 _____ 4 _____ 9 _____ ​(Type integers or​ decimals.) Based on the​ distribution, do the weights appear to be reported or actually​ measured? A.) The weights appear to be actually measured because the distribution is uniform. B.) The weights appear to be reported because the distribution is uniform. C.) The weights appear to be actually measured because there are disproportionately more 0s and 5s. D.) The weights appear to be reported because there are disproportionately more 0s and 5s. What can be said about the accuracy of the​ results? A.) They are likely not very accurate because they appear to be reported. B.) They are likely accurate because they appear to be reported. C.) They are likely accurate because they appear to be actually measured. D.) They are likely not very accurate because they appear to be actually measured.

First part 1 3 3 1 Part two D.) The weights appear to be reported because there are disproportionately more 0s and 5s. Part three A.) They are likely not very accurate because they appear to be reported.

Use the F-scale measurements of tornadoes listed in the accompanying table. The range of the data is 4.0. Use the range rule of thumb to estimate the value of the standard deviation. Compare the result to the actual standard deviation of the data, 1.1. Click on the icon to view the table of F-scale measurements. Using the range rule of thumb, the standard deviation is approximately _____. (Type an integer or decimal rounded to one decimal place as needed.) Compare the result to the actual standard deviation. The estimated standard deviation is ______ the actual standard deviation. Thus, the estimated standard deviation ______ substantially different from the actual standard deviation.

First part 1.0 Second part First blank less than 0.3 from second blank is not

Use the F-scale measurements of tornadoes listed in the accompanying table. The range of the data is 5.0. Use the range rule of thumb to estimate the value of the standard deviation. Compare the result to the actual standard deviation of the data, 1.3. Click the icon to view the table of F-scale measurements. Using the range rule of thumb, the standard deviation is approximately ______. (Type an integer or decimal rounded to one decimal place as needed.) Compare the result to the actual standard deviation. The estimated standard deviation is ___________ the actual standard deviation. Thus, the estimated standard deviation _______ substantially different from the actual standard deviation.

First part 1.3 Second part first blank less then 0.3 from second blank is not

Identify the lower class​ limits, upper class​ limits, class​ width, class​ midpoints, and class boundaries for the given frequency distribution. Also identify the number of individuals included in the summary. Age​ (yr) when award was won Frequency 10​-14 29 15​-19 32 20​-24 14 25​-29 2 30​-34 5 35​-39 2 40​-44 2 Identify the lower class limits. ______, _______, ________, _______, ________, ________, ________ ​(Type integers or decimals. Do not round. Use ascending​ order.) Identify the upper class limits. ______, _______, ______, ______, _______, ________, ________ ​(Type integers or decimals. Do not round. Use ascending​ order.) Identify the class width. _______ ​(Type an integer or a decimal. Do not​ round.) Identify the class midpoints. ______, _______, _______, _______, _______, _______, _______ (Type integers or decimals. Do not round. Use ascending​ order.) Identify the class boundaries. ______, ________, _______, _______, _______, ________, _______ ​(Type integers or decimals. Do not round. Use ascending​ order.) Identify the number of individuals included in the summary. _______ ​(Type an integer or a decimal. Do not​ round.)

First part 10, 15, 20, 25, 30, 35, 40 Second part 14, 19, 24, 29, 34, 39, 44 Third part 5 Fourth part 12, 17, 22, 27, 32, 37, 42 Fifth part 9.5, 14.5, 19.5, 24.5, 29.5, 34.5, 39.5, 44.5 Sixth part 86

Fourteen different​ second-year medical students at a hospital measured the blood pressure of the same person. The systolic readings​ (mm Hg) are listed below. Use the given data to construct a boxplot and identify the​ 5-number summary. 141 129 135 127 120 125 137 130 144 142 149 140 132 150 The​ 5-number summary is ______, ________​, ________, _________​, and _______​, all in mm Hg. ​(Use ascending order. Type integers or decimals. Do not​ round.) Which boxplot below represents the​ data?

First part 120, 129, 136, 142, and 150 For the second part go to homework 3 question number 24 picture

A sample pf blood pressure measurements is taken for a group of adults, and those values (mm Hg) are listed below. The values are matched so that 10 subjects each have a systolic and diastolic measurement. Find the coefficient of variation for each of the two sample; then compare the variation. Systolic: 119 130 158 97 158 122 114 136 124 119 Diastolic: 80 74 74 52 91 86 59 66 74 82 The coefficient of variation for the systolic measurements is _____%. (Type an integer or decimal rounded to one decimal place as needed.) The coefficient of variation for the diastolic measurements is _____%. (Type an integer or decimal rounded to one decimal place as needed.) Compare the variation. The coefficients of variation for each data set are ____________. Therefore, the systolic measurements vary _________ the diastolic measurements.

First part 14.9% Second part 16.3% Third part first blank within 5 percentage points of each other second blank about the same as

The brain volumes ​(cm3​) of 50 brains vary from a low of 904 cm3 to a high of 1494 cm3. Use the range rule of thumb to estimate the standard deviation s and compare the result to the exact standard deviation of 184.5 cm3​, assuming the estimate is accurate if it is within 15 cm3. The estimated standard deviation is ________ cm3. ​(Type an integer or a decimal. Do not​ round.) Compare the result to the exact standard deviation. A.) The approximation is accurate because the error of the range rule of​ thumb's approximation is less than 15 cm3. B.) The approximation is not accurate because the error of the range rule of​ thumb's approximation is less than 15 cm3. C.) The approximation is not accurate because the error of the range rule of​ thumb's approximation is greater than 15 cm3. D.) The approximation is accurate because the error of the range rule of​ thumb's approximation is greater than 15 cm3.

First part 147.5 Second part C.) The approximation is not accurate because the error of the range rule of​ thumb's approximation is greater than 15 cm3.

Find the mean of the data summarized in the given frequency distribution. Compare the computed mean to the actual mean of 51.7 miles per hour. Speed​ (miles per​ hour) 42−45 46−49 50−53 54−57 58−61 Frequency 23 12 6 4 1 The mean of the frequency distribution is _______ miles per hour. ​(Round to the nearest tenth as​ needed.) Which of the following best discribes the relationship between the computed mean and the actual​ mean? A.) The computed mean is not close to the actual mean because the difference between the means is more than​ 5%. B.) The computed mean is not close to the actual mean because the difference between the means is less than​ 5%. C.) The computed mean is close to the actual mean because the difference between the means is more than​ 5%. D.) The computed mean is close to the actual mean because the difference between the means is less than​ 5%.

First part 47.0 Second part A.) The computed mean is not close to the actual mean because the difference between the means is more than​ 5%.

A newspaper posted this question on its website: "How often do you seek medical information online?" Of 1072internet users who chose to respond, 38%, of them responded with "frequently". What term is used to describe this type of survey in which the people surveyed consist of those who decided to respond? What is wrong with this type of sampling method? What term is used to describe this type of survey? Select all that apply. A.) The respondents are a census. B.) The respondents are a population. C.) The respondents are a self-selected sample. D.) The respondents are a voluntary response sample. What is wrong with this type of sampling method? Select all that apply. A.) It is too time consuming. B.) Many people may choose not to respond to the survey. C.) Responses may not reflect the opinions of the general population. D.) It is too expensive. E.) The survey question is "loaded" or intentionally worded to elicit a desired response.

First part C.) The respondents are self-selected sample. D.) The respondents are a voluntary response sample. Second part B.) Many people my choose not to respond to the survey. C.) Responses may not reflect the opinions of the general population.

Use the​ magnitudes, rounded to two decimal​ places, of the 100 earthquakes included in the accompanying data set to construct a frequency distribution. Use a class width of 0.50 and begin with a lower class limit of 0.00. Does the frequency distribution appear to be a normal​ distribution? Click the icon to view the earthquake magnitudes. 0.71 0.74 0.63 0.39 0.71 2.18 1.99 0.63 1.22 0.21 1.65 1.31 2.96 0.91 1.75 1.01 1.25 0.00 0.65 1.47 1.61 1.84 0.99 1.56 0.42 1.27 0.83 1.34 0.54 1.26 0.91 0.99 0.78 0.78 1.44 0.99 2.25 2.47 1.77 1.24 1.49 0.84 1.43 1.01 1.26 1.42 1.35 0.93 0.37 1.38 1.28 0.84 1.35 0.55 1.24 1.01 1.26 0.11 0.65 1.45 1.64 1.82 0.99 1.58 0.29 2.19 1.97 0.64 1.23 0.26 0.71 0.73 0.63 0.39 0.69 1.42 1.35 0.92 0.47 1.39 0.99 2.24 2.47 1.78 1.25 0.92 1.01 0.79 0.79 1.45 1.49 0.85 1.41 1.01 1.24 1.65 1.31 2.95 0.89 1.75 Construct the frequency distribution. Magnitude Frequency 0.00 - _____ _______ _____ - ______ _______ _____ - ______ _______ ______ - ______ _______ ______ - _______ _______ ______ - _______ _______ ​(Type integers or decimals. Do not​ round.) Does the frequency distribution appear to be a normal​ distribution? The frequency distribution ____________ a normal distribution because the frequencies ______________.

First part Magnitude Frequency 0.00 - .49 10 .5 - .99 33 1 - 1.49 35 1.5 - 1.99 14 2 - 2.49 6 2.5 - 2.99 2 Second part first blank could reasonably be second blank start low, increase, and then decrease, and are roughly symmetric.

Waiting times​ (in minutes) of customers at a bank where all customers enter a single waiting line and a bank where customers wait in individual lines at three different teller windows are listed below. Find the coefficient of variation for each of the two sets of​ data, then compare the variation. Bank A​ (single line): 6.5 6.6 6.7 6.8 7.1 7.3 7.5 7.7 7.8 7.8 Bank B​ (individual lines): 4.2 5.4 5.9 6.3 6.8 7.7 7.8 8.6 9.3 9.7 The coefficient of variation for the waiting times at Bank A is ______​%. ​(Round to one decimal place as​ needed.) The coefficient of variation for the waiting times at the Bank B is ______%. ​(Round to one decimal place as​ needed.) Is there a difference in variation between the two data​ sets? A.) The waiting times at Bank A have considerably less variation than the waiting times at Bank B. B.) There is no significant difference in the variations. C.) The waiting times at Bank B have considerably less variation than the waiting times at Bank A.

First part first blank 7.1% second blank 24.7% Second part A.) The waiting times at Bank A have considerably less variation than the waiting times at Bank B.

Listed below are the top 10 annual salaries​ (in millions of​ dollars) of TV personalities. Find the​ range, variance, and standard deviation for the sample data. Given that these are the top 10​ salaries, do we know anything about the variation of salaries of TV personalities in​ general? 40 38 36 29 20 16 14 11 10.9 9.6 The range of the sample data is ​$______ million. ​(Type an integer or a​ decimal.) The variance of the sample data is ________. ​(Round to two decimal places as​ needed.) The standard deviation of the sample data is ​$_______ million. ​(Round to two decimal places as​ needed.) Is the standard deviation of the sample a good estimate of the variation of salaries of TV personalities in​ general? A.) No, because there is an outlier in the sample data. B.) No, because the sample is not representative of the whole population. C.) Yes, because the standard deviation is an unbiased estimator. D.) Yes, because the sample is random.

First part first blank $30.4 second blank 147.22 third blank $12.13 Second part B.) No, because the sample is not representative of the whole population.

The brain volumes ​(cm3​) of 20 brains have a mean of 1187.8 cm3 and a standard deviation of 125.4 cm3. Use the given standard deviation and the range rule of thumb to identify the limits separating values that are significantly low or significantly high. For such​ data, would a brain volume of 1418.6 cm3 be significantly​ high? Significantly low values are _______ cm3 or lower. ​(Type an integer or a decimal. Do not​ round.) Significantly high values are _______ cm3 or higher. ​(Type an integer or a decimal. Do not​ round.) Is 1418.6 cm3 significantly​ high? A.) Yes, because it is below the lower limit separating value. B.) No, because it is above the upper limit separating value. C.) Yes, because it is between the limits separating values. D.) No, because it is between the limits separating values. E.) No, because it is below the lower limit separating value. F.) Yes, because it is above the upper limit separating value.

First part first blank 937 second blank 1438.6 Second part D.) No, because it is between the limits separating values.

The last digit of the heights of 38 statistics students were obtained as part of an experiment class. Use the following frequency distribution to construct a histogram. What can be concluded from the distribution of the digits? Specifically, do the heights appear to be reported or actually measured? Digit Frequency 0 3 1 4 2 3 3 3 4 5 5 5 6 3 7 4 8 4 9 4 Are the data reported or measured? A.) The data appears to be measured. Certain heights occur a disproportionate number of times. B.) The data appears to be reported. Certain heights occur a disproportionate number of times. C.) The data appears to be reported. The heights occur with roughly the same frequency. D.) The data appears to be measured. The heights occur with roughly the same frequency.

For first part go to quiz 2 question 9 to see graph picture Second part D.) The data appears to be measured. The heights occur with roughly the same frequency.

The data table to the right represents the volumes of a generic soda brand. Complete parts​ (a) and​ (b) below. Volumes of soda​ (oz) 80 70 80 75 70 75 70 70 65 65 70 75 50 85 a. Which plot represents a dotplot of the​ data? b. Are there any​ outliers? A.) No, there do not appear to be any outliers. B.) Yes, the volumes of 0 oz and 200 oz appear to be outliers because they are far away from the other temperatures. C.) Yes, the volume of 70 oz appears to be an outlier because many sodas had this as their volume. D.) Yes, the volume of 50 oz appears to be an outlier because it is far away from the other volumes.

For part A go to question 24 homework 2 to see picture Part B D.) Yes, the volume of 50 oz appears to be an outlier because it is far away from the other volumes.

Use the same scales to construct modified boxplots for the pulse rates of males and females from the accompanying data sets. Identify any outliers. Use the boxplots to compare the two data sets. Click the icon to view the data sets. Men's pulse rates 59 58 69 69 61 86 84 78 79 74 88 56 105 67 70 54 80 60 73 80 52 58 65 65 64 50 69 56 68 55 66 76 67 62 69 74 74 64 49 58 Women's pulse rates 79 66 67 72 77 78 98 71 66 82 66 55 74 79 76 89 97 62 97 99 78 65 80 63 73 76 72 89 89 74 84 74 78 104 60 74 74 88 76 83 Determine the boxplot for the​ men's pulse rate data. Choose the correct graph below. What points are​ outliers? A.) 49, 50, 52 B.) 49 C.) 49, 50, 105 D.) 105 Determine the boxplot for the​ women's boxplot data. Choose the correct graph below. What points are​ outliers? A.) 104 B.) 99, 104 C.) 55, 104 D.) 55 Compare the two boxplots. Choose the correct answer below. A.) In​ general, it appears that males have higher pulse rates than females. The variation among the male pulse rates is similar to the variation among the female pulse rates. B.) In​ general, it appears that males have lower pulse rates than females. The variation among the male pulse rates is much greater than the variation among the female pulse rates. C.) In​ general, it appears that males have lower pulse rates than females. The variation among the male pulse rates is similar to the variation among the female pulse rates. D.) In​ general, it appears that males have higher pulse rates than females. The variation among the male pulse rates is much greater than the variation among the female pulse rates.

For part one go to homework 3 question 25 to see the graph picture Part two D.) 105 For part three go to the homework 3 question 25 to see the graph picture Part four A.) 104 Part five C.) In​ general, it appears that males have lower pulse rates than females. The variation among the male pulse rates is similar to the variation among the female pulse rates.

The frequency distribution below represents frequencies of actual low temperatures recorded during the course of a​ 31-day month. Use the frequency distribution to construct a histogram. Do the data appear to have a distribution that is approximately​ normal? Class Frequency A 39−44 1 B 45−50 1 C 51−56 8 D 57−62 10 E 63−68 6 F 69−74 3 G 75−80 2 Choose the correct histogram below. Do the data appear to have a distribution that is approximately​ normal? A.) Yes, it is approximately normal. B.) No, it is not at all symmetric. C.) No, it is approximately uniform. D.) No, it is completely erratic.

For part one go to question 22 homework 2 to see picture part two A.) Yes, it is approximately normal.

The last digit of the heights of 62 statistics students were obtained as part of an experiment conducted for a class. Use the following frequency distribution to construct a histogram. What can be concluded from the distribution of the​ digits? Specifically, do the heights appear to be reported or actually​ measured? Digit Frequency 0 13 1 4 2 3 3 5 4 5 5 15 6 4 7 5 8 3 9 5 Choose the correct histogram below. Are the data reported or​ measured? A.) The data appears to be reported. Certain heights occur a disproportionate number of times. B.) The data appears to be measured. Certain heights occur a disproportionate number of times. C.) The data appears to be measured. The heights occur with roughly the same frequency. D.) The data appears to be reported. The heights occur with roughly the same frequency.

For part one go to question 23 homework 2 to see picture Part two A.) The data appears to be reported. Certain heights occur a disproportionate number of times.

The data represents the heights of eruptions by a geyser. Use the heights to construct a stemplot. Identify the two values that are closest to the middle when the data are sorted in order from lowest to highest. Height of eruption​ (in.) 68 39 50 90 80 50 40 70 50 63 76 52 54 68 62 60 77 70 48 89 Which plot represents a stemplot of the​ data? Identify the two values that are closest to the middle when the data are sorted in order from lowest to highest. The values closest to the middle are _______ inches and ______ inches. ​(Type whole numbers. Use ascending​ order.)

For part one go to question 26 homework 2 for picture Part two First blank 62 Second blank 63

A study was conducted to determine how people get jobs. The table below lists data from 400 randomly selected subjects. Job Sources Frequency Help-wanted ads (H) 34 Executive search firms (E) 299 Networking (N) 58 Mass mailing (M) 13 Choose the correct pie chart. Compare the pie chart found above to the Pareto chart given on the left. Can you determine which graph is more effective in showing the relative importance of job sources? A.) The pie chart is more effective. B.) The Pareto chart is more effective. C.) Neither one is effective.

For part one go to quiz 2 question 10 to see the pie chart Part two B.) The Pareto chart is more effective.

The table provided below shows paired data for the heights of a certain country's presidents and their main opponents in the election campaign. Construct a scatterplot. Does there appear to be a correlation? Click the icon to view the data table for election heights. Construct a scatterplot. Choose the correct graph below. Does there appear to be a correlation between the presidents height and his opponent's height? A.) Yes, there appears to be a correlation. The candidate with the highest height usually wins. B.) Yes, there appears to be a correlation. As the president's height increases, his opponent's height decreases. C.) Yes, there appears to be a correlation. As the president's height increases, his opponent's height increases. D.) No, there does not appear to be a correlation because there is no general pattern to the data.

For part one go to quiz 2 question 4 to see the graph picture Part two D.) No, there does not appear to be a correlation because there is no general pattern to the data.

The last digit of the heights of 62 statistics students were obtained as part of an experiment conducted for a class. Use the following frequency distribution to construct a histogram. What can be concluded from the distribution of the digits? Specifically, do the heights appear to be reported or actually measured? Digit Frequency 0 15 1 4 2 3 3 5 4 3 5 13 6 4 7 5 8 5 9 5 Choose the correct histogram below. Are the data reported or measured? A.) The data appears to be reported. Certain heights occur a disproportionate number of times. B.) The data appears to be measured. Certain heights occur a disproportionate number of times. C.) The data appears to be reported. The heights occur with roughly the same frequency. D.) The data appears to be measured. The heights occur with roughly the same frequency.

For part one go to quiz two question 8 to see this picture Part two A.) The data appears to be reported. Certain heights occur a disproportionate number of times.

The boxplot shown below results from the heights (cm) of males listed in a data set. What do the numbers in that boxplot tell us? The minimum height is ______ cm, the first quartile Q1 is _______ cm, the second quartile Q2 (or the median) is _______ cm, the third quartile Q3 is ______ cm, and the maximum height is _____ cm.

For picture of graph go to quiz 3 question 8 First blank 154 Second blank 165.2 Third blank 176.3 Fourth blank 181.8 Fifth blank 195

Refer to the accompanying data set and use the 30 screw lengths to construct a frequency distribution. Begin with a lower class limit of 0.470 ​in., and use a class width of 0.010 in. The screws were labeled as having a length of 1/2 in. Screw Lengths​ (inches) 0.497 0.508 0.505 0.499 0.482 0.496 0.506 0.479 0.502 0.501 0.506 0.496 0.495 0.485 0.504 0.503 0.498 0.507 0.496 0.503 0.494 0.511 0.506 0.502 0.487 0.481 0.505 0.512 0.503 0.495 Complete the frequency distribution below. Length (in.) Frequency 0.047 - ______ ______ ______ - ________ ______ _______- ________ ______ ______- _________ _______ ______- _________ _______ ​(Type integers or decimals rounded to the nearest thousandth as​ needed.)

Length (in.) Frequency .479 1 .48 - .489 4 .49 - .499 9 .50 - .509 14 .51 - .519 2

Identify the lower class limits, upper class limits, class width, class midpoints, and class boundaries for the given frequency distribution. Also identify the number of individuals included in the summary. Blood Platelet Count of Males (1000 cells/uL) Frequency 0-99 3 100-199 45 200-299 80 300-399 25 400-499 0 500-599 1 600-699 0 ______, ______, ______, _____, _____, _____, ______ (Type integers or decimals. Do not round. Use ascending order.) Identify the class width (in 1000 cells/uL). ______ (Type an integer or a decimal. Do not round.) Identify the class midpoints (in 1000 cells/uL). _____, _____, _____, _____, _____, ____, _____ (Type integers or decimals. Do not round. Use ascending order.) Identify the class boundaries (in 1000 cells/uL). _____, _____, ______, _____, ______, ______, ______ (Type integers or decimals. Do not round. Use ascending order.) Identify the number of individuals included in the summary. ______ (Type the integer or a decimal. Do not round).

Missing very first part First part I have 99, 199, 299, 399, 499, 599, 699 Second part 100 Third part 49.5, 149.5, 249.5, 349.5, 449.5, 549.5, 649.5 Fourth part -.5, 99.5, 199.5, 299.5, 399.5, 499.5, 599.5, 699.5 Fifth part 154

Fill in the blank. In modified​ boxplots, a data value is​ a(n) _______ if it is above Q3+​(1.5)(IQR) or below Q1−​(1.5)(IQR). In modified​ boxplots, a data value is​ a(n) _______ if it is above Q3+​(1.5)(IQR) or below Q1−​(1.5)(IQR).

Outlier

Five pulse rates are randomly selected from a set of measurements. The five pulse rates have a mean of 69.4 beats per minute. Four of the pulse rates are 87​, 50​, 70​, and 77. a. Find the missing value. b. Suppose that you need to create a list of n values that have a specific known mean. Some of the n values can be freely selected. How many of the n values can be freely assigned before the remaining values are​ determined? (The result is referred to as the number of degrees of​ freedom.) a. The missing value is _______ beats per minute. ​(Type an integer or a decimal. Do not​ round.) b. Select the correct choice below and fill in the answer box to complete your choice. ​(Type an expression using n as the​ variable.) A.) Of the n​ values, ________ can be freely selected because the remaining​ value(s) can be expressed in terms of the assigned values and the known mean. B.) Of the n​ values, _______ can be freely selected because the remaining​ value(s) can be expressed in terms of the​ mean, median, and midrange of the assigned values. C.) Of the n​ values, ________ can be freely selected because the remaining​ value(s) must be equal to the known mean.

Part A 63 Part B n - 1 goes in the blank spot A.) Of the n​ values, ________ can be freely selected because the remaining​ value(s) can be expressed in terms of the assigned values and the known mean.

Find the (a) mean, (b) median, (c) mode, and (d) midrange for the data and then (e) answer the given questions. Listed below are the highest amounts of net worth (in millions of dollars) of all celebrities. What do the results tell us about the population of all celebrities? Based on the nature of the amounts, what can be inferred about their precision? 240, 190, 175, 165, 160, 160, 150, 150, 150, 150 a. find the mean. The mean is $_____ million. (Type an integer or a decimal rounded to one decimal place as needed.) b. Find the median. The median is $_____ million. (Type an integer or a decimal rounded to one decimal place as needed.) c. Find the mode. Select the correct choice below and, if necessary, fill in the answer box to complete your choice. A.) The mode(s) is(are) $_____ million. (Type an integer or a decimal. Do not round. Use a comma to separate answers as needed.) d. Find the midrange. The midrange is $_____ million. (Type an integer or a decimal rounded to one decimal place as needed.) e. What do the results tell us about the population of all celebrities? A.) The results tell us that all celebrities are expected to have amounts of net worth approximately equal to one of the measures of center found in parts (a) through (d). B.) Apart from the fact that all other celebrities have amounts of net worth lower then those, given nothing meaningful can be known about the population. C.) Apart from the fact that all other celebrities have amounts of net worth lower than those given, the results in parts (a), (b), and (d) do not given meaningful results. However, the result from part (c) shows that the most common celebrity net worth is equal to the mode. D.) The results tell us that the most common celebrities net worth is the mode, but all other celebrities are expected to have net worth's approximately equal to the mean, median, or midrange. Based on the nature of the amounts, what can be inferred about their precision? A.) Since no information is given, nothing can be said about the precision of the given values. B.) The values are all whole numbers, so they appear to be accurate to the nearest whole number. C.) Since celebrity information is public, these values can be assumed to be unrounded. D.) The values all end in 0 or 5, so they appear to be rounded estimates.

Part A $169 Part B $160 Part C the blank answer is $150 A.) The mode(s) is(are) $_____ million. Part D $195 Part E B.) Apart from the fact that all other celebrities have amounts of net worth lower then those, given nothing meaningful can be known about the population. Part F D.) The values all end in 0 or 5, so they appear to be rounded estimates.

Find the​ (a) mean,​ (b) median,​ (c) mode, and​ (d) midrange for the data and then​ (e) answer the given question. Listed below are the amounts​ (dollars) it costs for marriage proposal packages at different sports venues. Are there any​ outliers? 39 50 50 55 55 55 75 85 90 95 150 150 175 184 200 200 225 275 325 400 400 400 400 2000 2500 a. Find the mean. The mean is $​_____. ​(Type an integer or a decimal rounded to two decimal places as​ needed.) b. Find the median. The median is ​$______. ​(Type an integer or a decimal rounded to two decimal places as​ needed.) c. Find the mode. Select the correct choice below​ and, if​ necessary, fill in the answer box to complete your choice. A.) The​ mode(s) is(are) ​$_______. ​(Type an integer or a decimal. Do not round. Use a comma to separate answers as​ needed.) B.) There is no mode. d. Find the midrange. The midrange is ​$_______. ​(Type an integer or a decimal rounded to two decimal places as​ needed.) e. Are there any​ outliers? Choose the correct answer below. A.) The values ​$2000 and ​$2500 appear to be outliers. B.) The values ​$39 and ​$2500 appear to be outliers. C.) The values ​$39​, ​$2000​, and ​$2500 appear to be outliers. D.) There do not appear to be any outliers.

Part A 345.32 Part B 175 Part C A.) The mode(s) is (are) $400. Part D 1269.5 Part E A.) The values ​$2000 and ​$2500 appear to be outliers.

Researchers measured the data speeds for a particular smartphone carrier at 50 airports. The highest speed measured was 72.9 Mbps. The complete list of 50 data speeds has a mean of x = 17.54 Mbps and a standard deviation of s= 17.89 Mbps. a. What is the difference between carrier's highest data speed and the mean of all 50 data speeds? b. How many standard deviation is that (the difference found in part (a)? c. Convert the carrier's highest data speed to a z score. d. If we consider data speeds that convert to z scores between -2 and 2 to be neither significantly low nor significantly high, is the carrier's highest data speed significant? a. The difference is ______ Mbps. (Type an integer or a decimal. Do not round.) b. The difference is _____ standard deviations. (Type an integer or a decimal. Do not round.) c. The z score is z = ______. (Round to two decimal places as needed.) d. The carrier's highest data speed is __________.

Part A 55.36 Part B 3.09 Part C 3.09 Part D significantly high

Researchers measured the data speeds for a particular smartphone carrier at 50 airports. The highest speed measured was 72.9 Mbps. The complete list of 50 data speeds has a mean of x=15.26 Mbps and a standard deviation of s=17.73 Mbps. a. What is the difference between​ carrier's highest data speed and the mean of all 50 data​ speeds? b. How many standard deviations is that​ [the difference found in part​ (a)]? c. Convert the​ carrier's highest data speed to a z score. d. If we consider data speeds that convert to z scores between −2 and 2 to be neither significantly low nor significantly​ high, is the​ carrier's highest data speed​ significant? a. The difference is ______ Mbps. ​(Type an integer or a decimal. Do not​ round.) b. The difference is _________ standard deviations. ​(Round to two decimal places as​ needed.) c. The z score is z= ________. ​(Round to two decimal places as​ needed.) d. The​ carrier's highest data speed is __________.

Part A 57.64 Part B 3.25 Part C 3.25 Part D significantly high

The blood platelet counts of a group of women have a​ bell-shaped distribution with a mean of 247.1 and a standard deviation of 67.8. ​(All units are 1000 ​cells/μ​L.) Using the empirical​ rule, find each approximate percentage below. a. What is the approximate percentage of women with platelet counts within 2 standard deviations of the​ mean, or between 111.5 and 382.7​? b. What is the approximate percentage of women with platelet counts between 43.7 and 450.5​? a. Approximately ______​% of women in this group have platelet counts within 2 standard deviations of the​ mean, or between 111.5 and 382.7. ​(Type an integer or a decimal. Do not​ round.) b. Approximately ______% of women in this group have platelet counts between 43.7 and 450.5. ​(Type an integer or a decimal. Do not​ round.)

Part A 95% Part B 99.7%

Identify the symbols used for each of the​ following: (a) sample standard​ deviation; (b) population standard​ deviation; (c) sample​ variance; (d) population variance. a. The symbol for sample standard deviation is ______. b. The symbol for population standard deviation is ______. c. The symbol for sample variance is ______. d. The symbol for population variance is ______.

Part A s Part B o Part C s^2 Part D o^2

A polling company reported that 27​% of 1013 surveyed adults said that pesticides are "very harmful." Complete parts​ (a) through​ (d) below. a. What is the exact value that is 27​% of 1013​? The exact value is __________. ​(Type an integer or a​ decimal.) b. Could the result from part​ (a) be the actual number of adults who said that pesticides are "very harmful"? Why or why​ not? A.) No, the result from part​ (a) could not be the actual number of adults who said that pesticides are "very harmful" because that is a very rare opinion. B.) Yes, the result from part​ (a) could be the actual number of adults who said that pesticides are "very harmful" because the results are statistically significant. C.) No, the result from part​ (a) could not be the actual number of adults who said that pesticides are "very harmful" because a count of people must result in a whole number. D.) Yes, the result from part​ (a) could be the actual number of adults who said that pesticides are "very harmful" because the polling numbers are accurate. c. What could be the actual number of adults who said that pesticides are "very harmful"? The actual number of adults with this opinion could be _________. ​(Type an integer or a​ decimal.) d. Among the 1013 ​respondents, 610 said that pesticides are "not at all harmful." What percentage of respondents said that pesticides are "not at all harmful"? _______%​ (Round to two decimal places as​ needed.)

Part A Blank is 273.51 Part B C.) No, the result from part​ (a) could not be the actual number of adults who said that pesticides are "very harmful" because a count of people must result in a whole number. Part C blank 274 Part D blank 60.22%

Researchers measured the data speeds for a particular smartphone carrier at 50 airports. The highest speed measured was 76.8 Mbps. The complete list of 50 data speeds has a mean of x = 16.23 Mbps and a standard deviation of s = 39.56 Mbps. a. What is the difference between carrier's highest data speed and the mean of all 50 data speeds? b. How many standard deviations is that (the difference found in part (a) )? c. Convert the carrier's highest data speed to a z score. d. If we consider data speeds that convert to z scores between -2 and 2 to be neither significantly low nor significantly high, is the carrier's highest data speed significant? a. The difference is _____ Mbps. (Type an integer or a decimal. Do not round.) b. The difference is _____ standard deviations. (Round to two decimal places as needed.) c. The z score is z = _____. (Round to two decimal places as needed.) d. The carrier's highest data speed is ________.

Part a 60.75 Part b 1.53 Part c 1.53 Part d not significant

For a data set of brain volumes (cm^3) and IQ scores of twelve males, the linear correlation coefficient is r= 0.521. Use the table available below to find the critical values of r. Based on a comparison of the linear correlation coefficient r and the critical values, what do you conclude about a linear correlation? Click the icon to view the table of critical values of r. Number of Pairs of Data n Critical Value of r 4 0.950 5 0.878 6 0.811 7 0.754 8 0.707 9 0.666 10 0.632 11 0.602 12 0.576 The critical values are _________ (Type the integers or decimals. Do not round. Use a comma to separate answers as needed.) Since the correlation coefficient r is ____________, there ________ sufficient evidence to support the claim of a linear correlation.

Part one -0.576, 0.576 Second part first blank between the critical values second blank is not

Use the magnitudes​ (Richter scale) of the earthquakes listed in the data set below. Find the mean and median of this data set. Is the magnitude of an earthquake measuring 7.0 on the Richter scale an outlier​ (data value that is very far away from the​ others) when considered in the context of the sample data given in this data​ set? Explain. Click the icon to view the earthquake Richter scale data. 0.31 0.01 0.62 0.05 0.56 1.39 2.06 1.75 2.13 2.39 1.86 1.15 0.63 1.12 2.16 1.64 2.11 0.44 1.32 2.35 2.36 2.75 2.23 1.46 2.55 0.88 1.11 1.97 0.79 0.47 2.93 1.01 2.53 2.27 1.95 1.84 1.91 1.27 0.76 1.53 2.28 0.86 0.28 1.34 1.71 1.56 2.99 2.86 1.69 1.27 Find the mean and median of the data set using a calculator or similar data analysis technology. The mean of the data set is ______. ​(Round to three decimal places as​ needed.) The median of the data set is ______. ​(Round to three decimal places as​ needed.) Is the magnitude of an earthquake measuring 7.0 on the Richter scale an outlier when considered in the context of the sample data​ given? A.) Yes, because this value is the maximum data value. B.) Yes, because this value is very far away from all of the other data values. C.) No, because this value is not very far away from all of the other data values. D.) No, because this value is not the maximum data value.

Part one 1.549 Part two 1.6 Part three B.) Yes, because this value is very far away from all of the other data values.

Use the magnitudes​ (Richter scale) of the 120 earthquakes listed in the accompanying data table. Use technology to find the​ range, variance, and standard deviation. If another​ value, 8.00​, is added to those listed in the data​ set, do the measures of variation change​ much? Click the icon to view the table of magnitudes. 3.31 2.80 2.83 1.95 1.70 2.52 2.42 3.45 3.95 1.57 2.91 1.63 2.58 3.94 2.52 2.43 1.83 2.19 2.45 2.99 2.88 2.37 2.00 3.01 2.77 3.86 2.94 2.08 1.84 2.33 2.37 3.43 3.43 1.56 2.56 1.50 2.21 3.10 2.27 3.20 1.99 1.90 2.42 2.94 2.59 1.49 2.16 2.35 1.90 2.72 2.88 1.84 3.65 2.67 1.44 3.60 3.16 2.59 1.52 1.41 2.83 2.84 2.21 1.67 3.21 1.39 1.71 2.37 1.14 2.33 2.46 1.77 2.00 3.05 1.95 2.41 1.88 2.24 2.32 3.19 4.00 2.10 1.49 2.29 2.33 2.57 2.58 2.18 2.74 2.46 2.72 3.64 2.84 2.79 3.30 1.75 4.64 3.25 2.35 2.00 3.85 2.40 2.89 2.70 2.31 2.85 2.78 2.42 3.40 2.34 1.50 2.39 2.44 2.48 2.72 2.43 2.78 2.70 2.72 2.44 Without the extra data​ value, the range is ______. ​(Type an integer or decimal rounded to three decimal places as​ needed.) Without the extra data​ value, the standard deviation is _______. ​(Type an integer or decimal rounded to three decimal places as​ needed.) Without the extra data​ value, the variance is _______. ​(Type an integer or decimal rounded to three decimal places as​ needed.) With the extra data​ value, the range is ______. ​(Type an integer or decimal rounded to three decimal places as​ needed.) With the extra data​ value, the standard deviation is _______. ​(Type an integer or decimal rounded to three decimal places as​ needed.) With the extra data​ value, the variance is _______. ​(Type an integer or decimal rounded to three decimal places as​ needed.) Do the measures of variation change much with the extra data​ value? Choose the correct answer below. The ranges are ________________ the variances are ______________ and the standard deviations are ____________ so ____________ significantly.

Part one 3.5 Part two .651 Part three .425 Part four 6.86 Part five .818 Part six .669 Part seven First blank more than 5 percentage points apart, second blank more than 5 percentage points apart, third blank more than 5 percentage points apart, fourth blank all of them change

The brain volumes (cm^3) of 20 brains have a mean of 1140.5 cm^3 and a standard deviation of 129.6 cm^3. Use the given standard deviation and the range rule of thumb to identify the limits separating values that are significantly low or significantly high. For such data, would a brain volume of 1349.7 cm^3 be significantly high? Significantly low values are _______ cm^3 or lower. (Type an integer or a decimal. Do not round.) Significantly high values are _______ cm^3 or higher. (Type an integer or a decimal. Do not round.) Is 1349.7 cm^3 significantly high? A.) No, because it is above the upper limit separating value. B.) Yes, because it is between the limits separating values. C.) Yes, because it is above the upper limit separating values. D.) No, because it is between the limits separating values. E.) Yes, because it is below the lower limit separating value. F.) No, because it is below the lower limit separating value.

Part one 881.3 Part two 1399.7 Part three D.) No, because it is between the limits separating values.

Construct a​ stem-and-leaf plot of the test scores 68, 72, 85, 75, 89, 89, 87, 90, 99, 100. How does the​ stem-and-leaf plot show the distribution of these​ data? Construct the​ stem-and-leaf plot. Choose the correct answer below. A.) Stem Leaves B.) Stem Leaves 6 8 6 8 7 2 6 7 25 8 5 6 9 7 8 5 7 9 9 9 0 9 9 0 9 10 0 10 0 C.) Stem Leaves D.) Stem Leaves 6 8 6 6 7 2 5 7 25 8 5 9 9 6 8 5 9 9 7 9 0 9 9 0 7 10 0 10 0 How does the​ stem-and-leaf plot show the distribution of these​ data? A.) The lengths of the rows are similar to the heights of bars in a​ histogram; longer rows of data correspond to smaller frequencies. B.) The lengths of the rows are similar to the widths of bars in a​ histogram; longer rows of data correspond to smaller frequencies. C.) The lengths of the rows are similar to the widths of bars in a​ histogram; longer rows of data correspond to higher frequencies. D.) The lengths of the rows are similar to the heights of bars in a​ histogram; longer rows of data correspond to higher frequencies.

Part one B.) Stem Leaves 6 8 7 25 8 5 7 9 9 9 0 9 10 0 Part two D.) The lengths of the rows are similar to the heights of bars in a​ histogram; longer rows of data correspond to higher frequencies.

Refer to the accompanying data set and use the 25 home voltage measurements to construct a frequency distribution with five classes. Begin with a lower class limit of 119.2 volts, and use a class width of 0.2 volt. Does the result appear to have a normal distribution? Why or why not? Click the icon to view the data. (I do not have this data pictured.) Complete the Frequency distribution below. Voltage (volts) Frequency 119.2 - _______ _____ _____ - _______ _____ _____ - _______ _____ ______ - ______ ______ _____ - ______ ______ (Type the integers or decimals rounded to the nearest tenth as needed.) Does the result appear to have a normal distribution? Why or why not? A.) No, because the frequencies are not equal across the voltage classes. B.) Yes, because the frequencies start low, reach a maximum, then become low again, and are roughly symmetric about the maximum frequency. C.) No, because the frequencies are roughly equal across the voltage classes. D.) No, because the frequencies are randomly distributed. E.) Yes, because the frequencies are roughly equal across the voltage classes.

Part one Voltage (volts) Frequency 119.2 - 119.3 1 119.4 - 119.5 6 119.6 - 119.7 10 119.8 - 119.9 7 120.0 - 120.1 1 Part two B.) Yes, because the frequencies start low, reach a maximum, then become low again, and are roughly symmetric about the maximum frequency.

Listed below are pulse rates​ (beats per​ minute) from samples of adult males and females. Find the mean and median for each of the two samples and then compare the two sets of results. Does there appear to be a​ difference? ​ Male: 79 62 54 86 70 96 57 84 56 78 59 75 56 61 71 ​Female: 92 77 90 92 67 78 93 71 91 75 79 94 87 83 68 Find the means. The mean for males is _______ beats per minute and the mean for females is _______ beats per minute. ​(Type integers or decimals rounded to one decimal place as​ needed.) Find the medians. The median for males is _______ beats per minute and the median for females is ______ beats per minute. ​(Type integers or decimals rounded to one decimal place as​ needed.) Compare the results. Choose the correct answer below. A.) The median is lower for​ males, but the mean is lower for females. B.) The mean is lower for​ males, but the median is lower for females. C.) The mean and the median for females are both lower than the mean and the median for males. D.) The mean and median appear to be roughly the same for both genders. E.) The mean and the median for males are both lower than the mean and the median for females. Does there appear to be a​ difference? A.) Since the sample size is​ small, no meaningful information can be gained from analyzing the data. B.) The pulse rates for females appear to be higher than the pulse rates for males. C.) The pulse rates for males appear to be higher than the pulse rates for females. D.) There does not appear to be any difference.

Part one first blank 69.6 second blank 82.5 Second part first blank 70 second blank 83 Third part E.) The mean and the median for males are both lower than the mean and the median for females. Fourth part B.) The pulse rates for females appear to be higher than the pulse rates for males.

Determine whether the results below appear to have statistical​ significance, and also determine whether the results have practical significance. In a study of a weight loss​ program, 7 subjects lost an average of 40 lbs. It is found that there is about a 33​% chance of getting such results with a diet that has no effect. Does the weight loss program have statistical​ significance? A.) No, the program is not statistically significant because the results are unlikely to occur by chance. B.) ​No, the program is not statistically significant because the results are likely to occur by chance. C.) Yes, the program is statistically significant because the results are unlikely to occur by chance. D.) Yes, the program is statistically significant because the results are likely to occur by chance. Does the weight loss program have practical​ significance? A.) Yes, the program is practically significant because the amount of lost weight is large enough to be considered practically significant. B.) No, the program is not practically significant because the results are likely to occur even if the weight loss program has no effect. C.) No, the program is not practically significant because the amount of weight lost is trivial. D.) Yes, the program is practically significant because the results are too unlikely to occur by chance.

Part one ​B.) No, the program is not statistically significant because the results are likely to occur by chance. Part two A.) Yes, the program is practically significant because the amount of lost weight is large enough to be considered practically significant.

Consider a value to be significantly low if its z score less than or equal to −2 or consider a value to be significantly high if its z score is greater than or equal to 2. A test is used to assess readiness for college. In a recent​ year, the mean test score was 21.5 and the standard deviation was 4.9. Identify the test scores that are significantly low or significantly high. What test scores are significantly​ low? Select the correct answer below and fill in the answer​ box(es) to complete your choice. A.) Test scores that are between _______ and _______. ​(Round to one decimal place as needed. Use ascending​ order.) B.) Test scores that are less than _______. ​(Round to one decimal place as​ needed.) C.) Test scores that are greater than _______. ​(Round to one decimal place as​ needed.) What test scores are significantly​ high? Select the correct answer below and fill in the answer​ box(es) to complete your choice. A.) Test scores that are between ______ and _______. ​(Round to one decimal place as needed. Use ascending​ order.) B.) Test scores that are greater than _____. ​(Round to one decimal place as​ needed.) C.) Test scores that are less than _____. ​(Round to one decimal place as​ needed.)

Part one 11.7 is the answer to the blank for B B.) Test scores that are less than _____. Part two 31.3 is the answer to the blank for B B.) Test scores that are greater than ______.

Find the range, variance, and standard deviation for the given sample data, if possible. If the measures of variation can be obtained for these values, do the results make sense? Biologists conducted experiments to determine whether a deficiency of carbon dioxide in the soil affects the phenotypes of peas. Listed below are the phenotype codes, where 1 = smooth-yellow, 2 = smooth-green 3 = wrinkled-yellow, and 4 = wrinkled-green. 2 1 4 2 3 2 3 1 2 2 2 1 2 2 2 3 2 2 2 2 Can the range of the sample data be obtained for these values? Choose the correct answer below, and if necessary, fill in the answer box within your choice. A.) The range of the same data is ___. (Type an integer or a decimal. Do not round.) B.) The range of the sample data cannot be calculated. Can the standard deviation of the sample data be obtained for these values? Choose the correct answer below, and if necessary, fill in the answer box within your choice. A.) The standard deviation of the sample data is _____. B.) The standard deviation of the sample data cannot be calculated. Can the variance of the sample data be obtained for these values? Choose the correct answer below, and if necessary, fill in the answer box within your choice. A.) The variance of the sample data is ____. (Round to one decimal place as needed.) B.) The variance of the sample data cannot be calculated. Do these results make sense? A.) While the measurements of variation can be found, they do not make sense because the data are nominal; they don't measure or count anything. B.) The measures of variation make sense because the data is numeric, so the spread between the values is meaningful. C.) It makes sense that the measures of variation cannot be calculated because there is not a large enough sample size to calculate the measures of variation. D.) The measures of variation do not make sense because the standard deviation cannot be greater than the variance.

Part one The blank answer is 3 A.) The range of the same data is ___. Part two The blank answer is 0.7 A.) The standard deviation of the sample data is _____. Part three The answer to the blank is 0.5 A.) The variance of the sample data is ____. Part four A.) While the measurements of variation can be found, they do not make sense because the data are nominal; they don't measure or count anything.

The table below shows the frequency distribution of the weights​ (in grams) of​ pre-1964 quarters. Weight​ (g) Frequency 6.000-6.049 3 6.050-6.099 3 6.100-6.149 6 6.150-6.199 12 6.200-6.249 11 6.250-6.299 6 6.300-6.349 4 6.350-6.399 1 Use the frequency distribution to construct a histogram. Does the histogram appear to depict data that have a normal​ distribution? Why or why​ not? Does the histogram appear to depict data that have a normal​ distribution? A.) The histogram does not appear to depict a normal distribution. The frequencies generally decrease to a minimum and then​ increase, and the histogram is roughly symmetric. B.) The histogram does not appear to depict a normal distribution. The frequencies generally increase and the histogram is roughly symmetric. C.) The histogram appears to depict a normal distribution. The frequencies generally decrease to a minimum and then increase. D.) The histogram appears to depict a normal distribution. The frequencies generally increase to a maximum and then​ decrease, and the histogram is roughly symmetric.

Part one is a graph go picture from question 20 homework 2 Part two D.) The histogram appears to depict a normal distribution. The frequencies generally increase to a maximum and then​ decrease, and the histogram is roughly symmetric.

he histogram to the right represents the weights​ (in pounds) of members of a certain​ high-school programming team. What is the class​ width? What are the approximate lower and upper class limits of the first​ class? What is the class​ width? The class width is ______. ​(Simplify your​ answer.) What are the approximate lower and upper class limits of the first​ class? The approximate lower class limit is _______. The approximate upper class limit is _______. ​(Simplify your​ answers.)

Question number 19 homework 2 shows graph First blank 10 Second blank 110 Third blank 120

Among fatal plane crashes that occurred during the past 65 years, 362 were due to pilot​ error, 87 were due to other human​ error, 484 were due to​ weather, 594 were due to mechanical​ problems, and 419 were due to sabotage. Construct the relative frequency distribution. What is the most serious threat to aviation​ safety, and can anything be done about​ it? Complete the relative frequency distribution below. Relative Cause Frequency Pilot error _____% Other human error ______% Weather ______% Mechanical problems ______% Sabotage ______% ​(Round to one decimal place as​ needed.) What is the most serious threat to aviation​ safety, and can anything be done about it? A.) Pilot error is the most serious threat to aviation safety. Pilots could be better trained. B.) Mechanical problems are the most serious threat to aviation safety. New planes could be better engineered. C.) Weather is the most serious threat to aviation safety. Weather monitoring systems could be improved. D.) Sabotage is the most serious threat to aviation safety. Airport security could be increased.

Relative Frequency 18.6% 4.5% 24.9% 30.5% 21.5% Part two B.) Mechanical problems are the most serious threat to aviation safety. New planes could be better engineered.

The graph to the right compares teaching salaries of women and men at private colleges and universities. What impression does the graph create? Does the graph depict the data fairly? If not, construct a graph that depicts the data fairly. What impression does the graph create? A.) The graph creates the impression that women have salaries that are slightly higher than that of men. B.) The graph creates the impression that men have salaries that are more than twice the salaries of women. C.) The graph creates the impression that men have salaries that are slightly higher than that of women. D.) The graph creates the impression that men and women have approximately the same salaries. Does the graph depict the data fairly? A.) Yes, because the bars accurately represent each average. B.) Yes, because the vertical scale is appropriate for the data. C.) No, because the vertical scale does not start at zero. D.) No, because the data are two-dimensional measurements. If the graph does not depict the data fairly, which graph below does?

See quiz two question 7 to see the graph. Part one B.) The graph creates the impression that men have salaries that are more than twice the salaries of women. Part two C.) No, because the vertical scale does not start at zero. Part three see the picture of the graph for this one

Refer to the accompanying data set and use the 25 home voltage measurements to construct a frequency distribution with five classes. Begin with a lower class limit of 127.6 volts, and use a class width of 0.2 volt. Does the result appear to have a normal​ distribution? Why or why​ not? Voltage Measurements From a Home Home Home Home Home Full Day (volts) Day (volts) Day (volts) Day (volts) Data 1 127.8 8 127.9 15 128.2 22 128.1 Set 2 128.2 9 128.1 16 128.1 23 127.8 3 128.0 10 128.3 17 127.8 24 127.9 4 128.3 11 128.0 18 127.8 25 128.0 5 128.4 12 127.8 19 128.1 6 127.7 13 128.1 20 128.5 7 128.1 14 128.1 21 128.3 Complete the frequency distribution below. Voltage (volts) Frequency 127.6 - ______ _______ ______ - _______ _______ ______ - _______ _______ ______ - _______ ________ ______ - _______ _________ (Type integers or decimals rounded to the nearest tenth as​ needed.) Does the result appear to have a normal​ distribution? Why or why​ not? A.) No, because the frequencies are roughly equal across the voltage classes. B.) Yes, because the frequencies start low, reach a maximum, then become low again, and are roughly symmetric about the maximum frequency. C.) No, because the frequencies are randomly distributed. D.) No, because the frequencies are not equal across the voltage classes. E.) Yes, because the frequencies are roughly equal across the voltage classes.

Voltage (volts) 127.7 127.8 - 127.9 128.0 - 128.1 128.2 - 128.3 128.4 - 128.5 Frequency 1 7 10 5 2 Final part B.) Yes, because the frequencies start low, reach a maximum, then become low again, and are roughly symmetric about the maximum frequency.