math chapt 4
Suppose a random sample of n=390 teenagers 13 to 17 years of age was asked if they use social media. Of those surveyed, 277 stated that they do use social media. Find the sample proportion of teenagers 13 to 17 years of age who use social media.
0.710 ( 277/390)
Determine the point estimate of the population mean and margin of error for the confidence interval. Lower bound is 18, upper bound is 28. The point estimate of the population mean is 23 The margin of error for the confidence interval is 5
23 18+28/2 5 28-23
A researcher studying public opinion of proposed Social Security changes obtains a simple random sample of 25 adult Americans and asks them whether or not they support the proposed changes. To say that the distribution of the sample proportion of adults who respond yes, is approximately normal, how many more adult Americans does the researcher need to sample in the following cases? (a) 20% of all adult Americans support the changes
37.5 ronded to 38 10/ 0.20 (1-0.20) = 62.5 62.5-25 =
In a trial of 175 patients who received 10-mg doses of a drug daily, 42 reported headache as a side effect. Obtain a point estimate for the population proportion of patients who received 10-mg doses of a drug daily and reported headache as a side effect.
42/175 = 0.24
The horizontal axis in the sampling distribution of p represents all possible sample proportions from a simple random sample of size n. (a) What percent of sample proportions results in a 75% confidence interval that includes the population proportion? (b) What percent of sample proportions results in a 75% confidence interval that does not include the population proportion?
75% 25%
If one hundred 90% confidence intervals are constructed for a population parameter, we would expect.... 90 of the intervals to capture the unknown parameter. A (1−α)•100% confidence interval indicates that (1−α)•100% of all simple random samples of size n from the population whose parameter is unknown will result in an interval that contains the parameter. In this case, the proportion of intervals that should capture the unknown parameter in a 90% confidence interval is 0.9, so we would expect 0.9•100=90 of the intervals to capture the unknown parameter.
90
Define simple random sampling.
A sample of size n from a population of size N is obtained through simple random sampling if every possible sample of size n has an equally likely chance of occurring. The sample is then called a simple random sample.
Describe the sampling distribution of p. Assume the size of the population is 10,000. n=400, p=0.4 Choose the phrase that best describes the shape of the sampling distribution of p below. Determine the mean of the sampling distribution of p. Determine the standard deviation of the sampling distribution of p.
Approximately normal because n≤0.05N and np(1-p)>10 o.4 0.024. square root 0.4(1-0.4)/ 400
Suppose a simple random sample of size n=150 is obtained from a population whose size is N=25,000 and whose population proportion with a specified characteristic is p=0.4. Complete parts (a) through (c) below. Describe the sampling distribution of p. Choose the phrase that best describes the shape of the sampling distribution below. What is the probability of obtaining x=66 or more individuals with the characteristic? That is, what is P(p≥0.44)? What is the probability of obtaining x=51 or fewer individuals with the characteristic? That is, what is P(p≤0.34)?
Approximately normal because n≤0.05N and np(1-p)>10 stat calc normal mean = 0.4 std= 0.04 0.1587 0.0668
A doctor wants to estimate the mean HDL cholesterol of all 20- to 29-year-old females. How many subjects are needed to estimate the mean HDL cholesterol within 2 points with 99% confidence assuming s=17.5 based on earlier studies? Suppose the doctor would be content with 90% confidence. How does the decrease in confidence affect the sample size required?
A 99% confidence level requires 508 subjects. A 90% confidence level requires 208subjects. e=2 Confidence = 90 width 4 (2.x2) std 17.5 stat z stat one sample with sample size
To cut the standard error of the mean in half, the sample size must be doubled.
False. The sample size must be increased by a factor of four to cut the standard error in half.
What does "95% confidence" mean in a 95% confidence interval?
If 100 different confidence intervals are constructed, each based on a different sample of size n from the same population, then we expect 95 of the intervals to include the parameter and 5 to not include the parameter.
The data from a simple random sample with 25 observations was used to construct the plots given below. The normal probability plot that was constructed has a correlation coefficient of 0.936. Judge whether a t-interval could be constructed using the data in the sample.
The normal probability plot does not suggest. the data could come from a normal population because 0.936less than<0.959 and the boxplot shows outliers, so a t-interval could not. be constructed.
In a survey conducted by the Gallup Organization, 1100 adult Americans were asked how many hours they worked in the previous week. Based on the results, a 95% confidence interval for the mean number of hours worked had a lower bound of 42.7 and an upper bound of 44.5. Provide two recommendations for decreasing the margin of error of the interval.
Increase the sample size. Decrease the confidence level.
Two researchers, Jaime and Mariya, are each constructing confidence intervals for the proportion of a population who is left-handed. They find the point estimate is 0.26. Each independently constructed a confidence interval based on the point estimate, but Jaime's interval has a lower bound of 0.199 and an upper bound of 0.321, while Mariya's interval has a lower bound of 0.227 and an upper bound of 0.346. Which interval is wrong? Why?
Mariya's interval is wrong because it is not centered on the point estimate.
A simple random sample of size n=57 is obtained from a population that is skewed left with μ=33 and σ=2. Does the population need to be normally distributed for the sampling distribution of x to be approximately normally distributed? Why? What is the sampling distribution of x?
No. The central limit theorem states that regardless of the shape of the underlying population, the sampling distribution of x becomes approximately normal as the sample size, n, increases.
A trade magazine routinely checks the drive-through service times of fast-food restaurants. A 90% confidence interval that results from examining 756 customers in one fast-food chain's drive-through has a lower bound of 174.4 seconds and an upper bound of 178.0 seconds. What does this mean?
One can be 90 confident that the mean drive-through service time of this fast-food chain is between 174.4 seconds and 178.0 seconds.
A group conducted a poll of 2064 likely voters just prior to an election. The results of the survey indicated that candidate A would receive 47% of the popular vote and candidate B would receive 45% of the popular vote. The margin of error was reported to be 4%. The group reported that the race was too close to call. Use the concept of a confidence interval to explain what this means. What does it mean to say the race was too close to call?
The margin of error suggests candidate A may receive between 43% and 51% of the popular vote and candidate B may receive between 41% and 49% of the popular vote. Because the poll estimates overlap when accounting for margin of error, the poll cannot predict the winner.
Determine the point estimate of the population proportion, the margin of error for the following confidence interval, and the number of individuals in the sample with the specified characteristic, x, for the sample size provided. Lower bound=0.136, upper bound=0.364, n=1500
The point estimate of the population proportion is 0.25. ( 0.364+0.136 / 2 ) The margin of error is 0.114. ( 0.364- 0.136 / 2 ) The number of individuals in the sample with the specified characteristic is 375. (1500x 0.25)
According to a study conducted by a statistical organization, the proportion of people who are satisfied with the way things are going in their lives is 0.80. Suppose that a random sample of 100 people is obtained. Complete parts (a) through (e) below. Suppose the random sample of 100 people is asked, "Are you satisfied with the way things are going in your life?" Is the response to this question qualitative or quantitative? Explain. Describe the sampling distribution of p, the proportion of people who are satisfied with the way things are going in their life. Be sure to verify the model requirements. Since the sample size is no more than 5% of the population size and np(1−p)=16≥10, the distribution of p is approximately normal with μp=0.800 and σp=0.04 In the sample obtained in part (a), what is the probability that the proportion who are satisfied with the way things are going in their life exceeds 0.83? The probability that the proportion who are satisfied with the way things are going in their life exceeds 0.83 is Using the distribution from part (c), would it be unusual for a survey of 100 people to reveal that 74 or fewer people in the sample are satisfied with their lives? The probability that 74 or fewer people in the sample are satisfied is 0.0668, which is not unusual because this probability is not less than 5%.
The response is qualitative because the responses can be classified based on the characteristic of being satisfied or not. The sample proportion p is a random variable because the value of p varies from sample to sample. The variability is due to the fact that different people feel differently regarding their satisfaction. no more, 16 (. 100(0.80)(1-0.80), approximately normal, 0.800, 0.04 0.2266. stat calc normal mean 0.800 std 0.04 >0.83 0.0668 stat calc mean 0.800 std 0.04 <74, is not , is not 5 %
The sample proportion, denoted p, is given by the formula p=x/n where x is the number of individuals with a specified characteristic in a sample of n individuals
The sample proportion, denoted p, is given by the formula p=x/n where x is the number of individuals with a specified characteristic in a sample of n individuals
By how many times does the sample size have to be increased to decrease the margin of error by a factor of 1/3
The sample size must be increased by a factor of 9 to decrease the margin of error by a factor of 1/3 ( 3x3) = 9 What is the general relationship, if any, between the sample size and the margin of error? Increasing the sample size by a factor M results in the margin of error decreasing by a factor of 1/ square root M
σx is 10 If the sample size is n=9, what is likely true about the shape of the population? If the sample size is n=9, what is the standard deviation of the population from which the sample was drawn? The standard deviation of the population from which the sample was drawn is
The shape of the population is approximately normal. 30. 10 x square 9
A 95% confidence interval may be interpreted by saying there is a 95% probability that the interval includes the unknown parameter. A 95% confidence interval does not mean that there is a 95% probability that the interval contains the parameter. The 95% in a 95% confidence interval represents the proportion of all samples that will result in intervals that include the population proportion. OK
false
Suppose a polling agency reported that 46.9% of registered voters were in favor of raising income taxes to pay down the national debt. The agency states that results are based on telephone interviews with a random sample of 1048 registered voters. Suppose the agency states the margin of error for 95% confidence is 3.0%. Determine and interpret the confidence interval for the proportion of registered voters who are in favor of raising income taxes to pay down the national debt.
We are 95% confident that the proportion of registered voters in favor of raising income taxes to pay down the national debt is between 0.439 and 0.499 0.469-0.03 = 0.439 0.469 + 0.03= 0.499
In a survey of 2085 adults in a certain country conducted during a period of economic uncertainty, 52% thought that wages paid to workers in industry were too low. The margin of error was 3 percentage points with 95% confidence. For parts (a) through (d) below, which represent a reasonable interpretation of the survey results? For those that are not reasonable, explain the flaw.
We are 95% confident 52% of adults in the country during the period of economic uncertainty felt wages paid to workers in industry were too low. Is the interpretation reasonable? The interpretation is flawed. The interpretation provides no interval about the population proportion. We are 92% to 98% confident 52% of adults in the country during the period of economic uncertainty felt wages paid to workers in industry were too low. Is the interpretation reasonable? The interpretation is flawed. The interpretation indicates that the level of confidence is varying. We are 95% confident that the interval from 0.49 to 0.55 contains the true proportion of adults in the country during the period of economic uncertainty who believed wages paid to workers in industry were too low. Is the interpretation reasonable? The interpretation is reasonable. In 95% of samples of adults in the country during the period of economic uncertainty, the proportion who believed wages paid to workers in industry were too low is between 0.49 and 0.55. Is the interpretation reasonable? The interpretation is flawed. The interpretation suggests that this interval sets the standard for all the other intervals, which is not true.
Put the following in order for the most area in the tails of the distribution. (a) Standard Normal Distribution (b) Student's t-Distribution with 5 degrees of freedom. (c) Student's t-Distribution with 10 degrees of freedom.
b c a
(a) When constructing 95% confidence intervals for the mean when the parent population is right skewed and the sample size is small, the proportion of intervals that include the population mean is (above, below, equal to) 0.95. (b) When constructing 95% confidence intervals for the mean when the parent population is right skewed and the sample size is small, the proportion of intervals that include the population mean approaches _____ as the sample size, n, increases.
below 0.95
The level of confidence represents the expected proportion of intervals that will contain the parameter if a large number of different samples of size n is obtained. It is denoted left parenthesis 1 minus alpha right parenthesis times 100 %.
level of confidence, (1-a)x 100
Find the sample variance and standard deviation. 21,13,4,9,10
s2- 39.3 s- 6.3
A simple random sample of size n=46 is obtained from a population with μ=67 and σ=15. (a) What must be true regarding the distribution of the population in order to use the normal model to compute probabilities involving the sample mean? Assuming that this condition is true, describe the sampling distribution of x. (b) Assuming the normal model can be used, determine P(x<71.4). (c) Assuming the normal model can be used, determine P(x≥68.4).
since the sample size is large enough the population size does not have to be normal Approximately normal with mean 67, std 15/ square 46 stat calc normal mean 67. std= 15/square root 46 = 2.2116 (b) P(x<71.4)=0.9767 (c) P(x≥68.4)=0.2634
An agricultural researcher is interested in estimating the mean length of the growing season in a region. Treating the last 10 years as a simple random sample, he obtains the following data, which represent the number of days of the growing season. What is the point estimate of the population mean number of days of the growing season? 157 158 150142169186193182 163 156 The point estimate is 165.6
stat summary stat columms mean = 165.6
A simple random sample of size n is drawn from a population that is normally distributed. The sample mean, x, is found to be 113, and the sample standard deviation, s, is found to be 10. (a) Construct a 96% confidence interval about μ if the sample size, n, is 22. (b) Construct a 96% confidence interval about μ if the sample size, n, is 12. (c) Construct a 90% confidence interval about μ if the sample size, n, is 22. (d) Should the confidence intervals in parts (a)-(c) have been computed if the population had not been normally distributed?
stat t stats one sample with summary
The Student's t-distribution is symmetric about 0.
symmetric about 0.
Sample: 24,14,4,13,20
μ- population mean xˉ - sample mean - 15
Determine μx and σx from the given parameters of the population and sample size. μ=71, σ=16, n=64
μ=71 σ=2 16/ square root 64
Katrina wants to estimate the proportion of adults who read at least 10 books last year. To do so, she obtains a simple random sample of 100 adults and constructs a 95% confidence interval. Matthew also wants to estimate the proportion of adults who read at least 10 books last year. He obtains a simple random sample of 400 adults and constructs a 99% confidence interval. Assuming both Katrina and Matthew obtained the same point estimate, whose estimate will have the smaller margin of error? Justify your answer.
Matthew's estimate will have the smaller margin of error because the larger sample size more than compensates for the higher level of confidence. Your answer is correct. C.
