stats chapter 1

Consider the students in your statistics class as the population and suppose they are seated in four rows of 10 students each. To select a sample, toss a coin. If it comes up heads, you use the 20 students sitting in the first two rows as your sample. If it comes up tails, you use the 20 students sitting in the last two rows as your sample. (1) Is it possible to include students sitting in row 3 with students sitting in row 2 in your sample? a. No, it is not possible with this described method of selection. b. Sometimes it is possible with this described method of selection. c. Yes, it is possible with this described method of selection. (2) Is your sample a simple random sample? Explain. a. No, this is not a simple random sample. It is a stratified sample. b. No, this is not a simple random sample. It is a cluster sample. c. No, this is not a simple random sample. It is a systematic sample. d. Yes, this is a simple random sample.

(1) a. No, it is not possible with this described method of selection. (2) b. No, this is not a simple random sample. It is a cluster sample.

Consider the students in your statistics class as the population and suppose they are seated in four rows of 10 students each. To select a sample, toss a coin. If it comes up heads, you use the 20 students sitting in the first two rows as your sample. If it comes up tails, you use the 20 students sitting in the last two rows as your sample. Describe a process you could use to get a simple random sample of size 20 from a class of size 40. a. Assign each student a number 1, 2, . . . , 40 and use a computer or a random-number table to select 20 students. b. Assign each student to a pair 1, 2, . . . , 20 and use a computer or a random-number table to select 10 pairs. c. Assign each student a number 1, 2, . . . , 20 and use a computer or a random-number table to select 10 students. d. Assign each student a group 1, 2, 3, 4 and use a computer or a random-number table to select 2 groups.

a. Assign each student a number 1, 2, . . . , 40 and use a computer or a random-number table to select 20 students.

For a set population, does a parameter ever change? a. never b. sometimes c. unknown d. always

a. never

Categorize these measurements associated with a robotics company according to level: nominal, ordinal, interval, or ratio. color of product packaging a. nominal b. ordinal c. interval d. ratio

a. nominal

Categorize these measurements associated with a robotics company according to level: nominal, ordinal, interval, or ratio. names of new products a. nominal b. ordinal c. interval d. ratio

a. nominal

Categorize these measurements associated with fishing according to level: nominal, ordinal, interval, or ratio. species of fish caught: perch, bass, pike, trout a. nominal b. ordinal c. interval d. ratio

a. nominal

An important part of employee compensation is a benefits package, which might include health insurance, life insurance, child care, vacation days, retirement plan, parental leave, bonuses, etc. Suppose you want to conduct a survey of benefits packages available in private businesses in Hawaii. You want a sample size of 100. Some sampling techniques are described below. Categorize each technique as simple random sample, stratified sample, systematic sample, cluster sample, or convenience sample. Assign each business in the Island Business Directory a number, and then use a random-number table to select the businesses to be included in the sample. a. simple random sample b. stratified sample c. systematic sample d. cluster sample e. convenience sample

a. simple random sample

If there are three different samples of the same size from a set population, is it possible to get three different values for the same statistic or problem set? a. Data from samples never vary from sample to sample, and so corresponding sample statistics may vary from sample to sample. b. Data from samples may vary from sample to sample, and so corresponding sample statistics may vary from sample to sample. c. Data from samples may vary from sample to sample, and so corresponding sample statistics never vary from sample to sample. d. Data from samples never vary from sample to sample, and so corresponding sample statistics never vary from sample to sample.

b. Data from samples may vary from sample to sample, and so corresponding sample statistics may vary from sample to sample.

Consider the students in your statistics class as the population and suppose they are seated in four rows of 10 students each. To select a sample, toss a coin. If it comes up heads, you use the 20 students sitting in the first two rows as your sample. If it comes up tails, you use the 20 students sitting in the last two rows as your sample. Does every student have an equal chance of being selected for the sample? Explain. a. Yes, your seating location ensures an equal chance of being selected. b. Yes, your seating location and the randomized coin flip ensure equal chances of being selected. c. No, the coin flip does not ensure an equal chance of being selected. d. No, your seating location does not ensure an equal chance of being selected.

b. Yes, your seating location and the randomized coin flip ensure equal chances of being selected.

Categorize these measurements associated with a robotics company according to level: nominal, ordinal, interval, or ratio. salesperson's performance: below average, average, above average. a. nominal b. ordinal c. interval d. ratio

b. ordinal

Categorize these measurements associated with fishing according to level: nominal, ordinal, interval, or ratio. guidebook rating of fishing area: poor, fair, good a. nominal b. ordinal c. interval d. ratio

b. ordinal

An important part of employee compensation is a benefits package, which might include health insurance, life insurance, child care, vacation days, retirement plan, parental leave, bonuses, etc. Suppose you want to conduct a survey of benefits packages available in private businesses in Hawaii. You want a sample size of 100. Some sampling techniques are described below. Categorize each technique as simple random sample, stratified sample, systematic sample, cluster sample, or convenience sample. Group the businesses according to type: medical, shipping, retail, manufacturing, financial, construction, restaurant, hotel, tourism, other. Then select a random sample of 10 businesses from each business type. a. simple random sample b. stratified sample c. systematic sample d. cluster sample e. convenience sample

b. stratified sample

Consider these number assignments for category items describing usefulness of customer service. 1 = not helpful; 2 = somewhat helpful; 3 = very helpful; 4 = extremely helpful What about at the interval level or higher? Explain. a. Yes, the data has an ordering, and the differences between data values are important. b. Yes, the data has an ordering, the differences are important and we can find ratios between data values. c. No, while the data has an ordering, and the data can be compared to each other, the differences don't mean anything. d. No, while the data has an ordering to its categories, comparing them to each other is meaningless. e. No, while the data can be put into categories, order doesn't matter.

c. No, while the data has an ordering, and the data can be compared to each other, the differences don't mean anything.

Consider these number assignments for category items describing usefulness of customer service. 1 = not helpful; 2 = somewhat helpful; 3 = very helpful; 4 = extremely helpful Are these numerical assignments at the ordinal data level? Explain. a. No, the data can be put into categories, but a comparison between values means nothing. b. Yes, this data can be put into categories and order doesn't matter. c. Yes, the data has an ordering to its categories. d. No, the data has an ordering, the differences are important and we can find ratios between data values. e. No, the data has an ordering, and the differences between data values are important.

c. Yes, the data has an ordering to its categories.

Categorize these measurements associated with a robotics company according to level: nominal, ordinal, interval, or ratio. temperature (°F) in CEO's private office a. nominal b. ordinal c. interval d. ratio

c. interval

Categorize these measurements associated with fishing according to level: nominal, ordinal, interval, or ratio. temperature of water a. nominal b. ordinal c. interval d. ratio

c. interval

Categorize these measurements associated with fishing according to level: nominal, ordinal, interval, or ratio. time of return home a. nominal b. ordinal c. interval d. ratio

c. interval

What is the average miles per gallon (mpg) for all new hybrid small cars? Using Consumer Reports, a random sample of such vehicles gave an average of 35.7 mpg. Is the variable quantitative or qualitative? a. both quantitative and qualitative b. qualitative c. quantitative

c. quantitative

An important part of employee compensation is a benefits package, which might include health insurance, life insurance, child care, vacation days, retirement plan, parental leave, bonuses, etc. Suppose you want to conduct a survey of benefits packages available in private businesses in Hawaii. You want a sample size of 100. Some sampling techniques are described below. Categorize each technique as simple random sample, stratified sample, systematic sample, cluster sample, or convenience sample. Use the Island Business Directory. Number all the businesses. Select a starting place at random, and then use every 50th business listed until you have 100 businesses. a. simple random sample b. stratified sample c. systematic sample d. cluster sample e. convenience sample

c. systematic sample

What is the difference between a parameter and a statistic? a. A parameter is a numerical measurement describing data from a sample. A statistic is a numerical measurement describing data from a population. b. A parameter is an aspect of an individual subject or object being measured. A statistic is a numerical measurement describing data from a sample. c. A parameter is an aspect of an individual subject or object being measured. A statistic is a numerical measurement describing data from a population. d. A parameter is a numerical measurement describing data from a population. A statistic is a numerical measurement describing data from a sample. e. A parameter is a numerical measurement describing data from a population. A statistic is an aspect of an individual subject or object being measured. f. A parameter is a numerical measurement describing data from a sample. A statistic is an aspect of an individual subject or object being measured.

d. A parameter is a numerical measurement describing data from a population. A statistic is a numerical measurement describing data from a sample.

What is the average miles per gallon (mpg) for all new hybrid small cars? Using Consumer Reports, a random sample of such vehicles gave an average of 35.7 mpg. What is the implied population? a. all cars b. the new hybrid cars that were examined c. all cars with average miles per gallon d. all new hybrid small cars

d. all new hybrid small cars

An important part of employee compensation is a benefits package, which might include health insurance, life insurance, child care, vacation days, retirement plan, parental leave, bonuses, etc. Suppose you want to conduct a survey of benefits packages available in private businesses in Hawaii. You want a sample size of 100. Some sampling techniques are described below. Categorize each technique as simple random sample, stratified sample, systematic sample, cluster sample, or convenience sample. Use postal ZIP Codes to divide the state into regions. Pick a random sample of 10 ZIP Code areas and then include all the businesses in each selected ZIP Code area. a. simple random sample b. stratified sample c. systematic sample d. cluster sample e. convenience sample

d. cluster sample

What is the average miles per gallon (mpg) for all new hybrid small cars? Using Consumer Reports, a random sample of such vehicles gave an average of 35.7 mpg. Identify the variable. a. all cars b. total miles c. new hybrid small cars d. miles per gallon

d. miles per gallon

Consider these number assignments for category items describing electronic ways of expressing personal opinions. 1 = Twitter; 2 = email; 3 = text message; 4 = Facebook; 5 = blog Are these numerical assignments at the ordinal data level or higher? Explain. a. Yes, they are ratio data as we can order this data, take the differences and find ratios between the data values. b. Yes, they are at the ordinal level as we can order the data and compare the data values to each other. c. Yes, they are interval data as we can order this data and the differences between data values are important.No, they are at the nominal level as there is d. no apparent ordering in the responses.

d. no apparent ordering in the responses.

Are data at the nominal level of measurement quantitative or qualitative? a. both quantitative and qualitative b. neither quantitative nor qualitative c. quantitative d. qualitative

d. qualitative

Categorize these measurements associated with a robotics company according to level: nominal, ordinal, interval, or ratio. gross income for each of the past 5 years a. nominal b. ordinal c. interval d. ratio

d. ratio

Categorize these measurements associated with a robotics company according to level: nominal, ordinal, interval, or ratio. price of company's stock a. nominal b. ordinal c. interval d. ratio

d. ratio

Categorize these measurements associated with fishing according to level: nominal, ordinal, interval, or ratio. cost of rod and reel a. nominal b. ordinal c. interval d. ratio

d. ratio

Categorize these measurements associated with fishing according to level: nominal, ordinal, interval, or ratio. number of fish caught a. nominal b. ordinal c. interval d. ratio

d. ratio

In a statistical study what is the difference between an individual and a variable? a. An individual is the population of interest. A variable is a numerical measurement describing data from a population. b. An individual is the population of interest. A variable is an aspect of an individual subject or object being measured. c. An individual is a member of the population of interest. A variable is a numerical measurement describing data from a population. d. An individual is a member of the population of interest. A variable is a numerical measurement describing data from a sample. e. An individual is a member of the population of interest. A variable is an aspect of an individual subject or object being measured.

e. An individual is a member of the population of interest. A variable is an aspect of an individual subject or object being measured.

An important part of employee compensation is a benefits package, which might include health insurance, life insurance, child care, vacation days, retirement plan, parental leave, bonuses, etc. Suppose you want to conduct a survey of benefits packages available in private businesses in Hawaii. You want a sample size of 100. Some sampling techniques are described below. Categorize each technique as simple random sample, stratified sample, systematic sample, cluster sample, or convenience sample. Send a team of five research assistants to Bishop Street in downtown Honolulu. Let each assistant select a block or building and interview an employee from each business found. Each researcher can have the rest of the day off after getting responses from 20 different businesses. a. simple random sample b. stratified sample c. systematic sample d. cluster sample e. convenience sample

e. convenience sample