Question 1

Which of the following estimated population proportions would require the largest size sample to estimate it with a specified degree of precision and confidence?

Accepted Answer

A) 0.50 
B) 0.40 
C) 0.10 
D) 0.90 
E) 1.00 
A) 0.50 
B) 0.40 
C) 0.10 
D) 0.90 
E) 1.00

Question 2

It is only when sample size is allowed to vary that it is possible to achieve given levels of both precision and confidence.

Accepted Answer

A) True 
 B)False

Question 3

If a newspaper editor asks a reporter to interview thirty males and thirty females from each of three geographical areas of a particular city for a prospective story, what type of sampling procedure is being used?

Accepted Answer

A)  Simple random sample 
B)  Convenience sample 
C)  Quota sample 
D)  Systematic sample 
E)  Stratified sample 
A)  Simple random sample 
B)  Convenience sample 
C)  Quota sample 
D)  Systematic sample 
E)  Stratified sample

Question 4

Choosing a sample of size n at random is statistically equivalent to first identifying all possible samples of size n in the population and then picking one of these samples randomly.

Accepted Answer

A) True 
 B)False

Question 5

The distinguishing features of a simple random sample are:

Accepted Answer

A)  each population element has a known chance of being selected. 
B)  each population element has an equal chance of being selected. 
C)  every combination of n population elements is a sample possibility. 
D)  Both a and b 
E)  a, b, and c. 
A)  each population element has a known chance of being selected. 
B)  each population element has an equal chance of being selected. 
C)  every combination of n population elements is a sample possibility. 
D)  Both a and b 
E)  a, b, and c.

Question 6

A market researcher divides the Dallas metropolitan area into blocks having roughly equal populations. He then selects a random sample of blocks and sends interviewers to each block. The interviewers are instructed to interview every eighth dwelling unit. This is ____ sampling.

Accepted Answer

A)  one-stage area 
B)  two-stage area 
C)  quota 
D)  two-stage systematic 
E)  stratified 
A)  one-stage area 
B)  two-stage area 
C)  quota 
D)  two-stage systematic 
E)  stratified

Question 7

In order to define a population, the researcher needs to specify:

Accepted Answer

A)  the geographic boundaries of the population. 
B)  which elements are not of interest. 
C)  the time period for the study. 
D)  Both a and b 
E)  a, b, and c. 
A)  the geographic boundaries of the population. 
B)  which elements are not of interest. 
C)  the time period for the study. 
D)  Both a and b 
E)  a, b, and c.

Question 8

Which of the following statements is most accurate regarding the relationship between sample size and the sample representativeness?

Accepted Answer

A)  There is no relation between the size of a sample and the representativeness of the population from which it is drawn. 
B)  There is a strong positive relationship between the size of a sample and the representativeness of the population from which it is drawn. 
C)  You cannot have a representative sample unless the sample size is equal to or exceeds ten percent of the population. 
D)  Sample size determines representativeness but only if the sample plan is a probability sampling plan. 
E)  None of the above. 
A)  There is no relation between the size of a sample and the representativeness of the population from which it is drawn. 
B)  There is a strong positive relationship between the size of a sample and the representativeness of the population from which it is drawn. 
C)  You cannot have a representative sample unless the sample size is equal to or exceeds ten percent of the population. 
D)  Sample size determines representativeness but only if the sample plan is a probability sampling plan. 
E)  None of the above.

Question 9

If we were to ask college students "To what extent do they value a college degree?" which type of sample plan would be most appropriate?

Accepted Answer

A)  Any probability sampling plan would be useful. 
B)  A stratified sample because we would expect the answers to vary by strata: freshmen, sophomore, junior, and senior. 
C)  A cluster sample because we would expect the answers to vary by cluster: freshmen, sophomore, junior, and senior. 
D)  An area sample because we would expect the answers to vary by area: freshmen, sophomore, junior, and senior. 
E)  None of the above would be appropriate. In fact, it would be best to use a nonprobability sampling technique. 
A)  Any probability sampling plan would be useful. 
B)  A stratified sample because we would expect the answers to vary by strata: freshmen, sophomore, junior, and senior. 
C)  A cluster sample because we would expect the answers to vary by cluster: freshmen, sophomore, junior, and senior. 
D)  An area sample because we would expect the answers to vary by area: freshmen, sophomore, junior, and senior. 
E)  None of the above would be appropriate. In fact, it would be best to use a nonprobability sampling technique.

Question 10

Which of the following statements is TRUE?

Accepted Answer

A)  In cluster sampling, the parent population is broken into mutually exclusive and exhaustive subgroups and a simple random sample is selected from each subgroup. 
B)  Cluster samples are most statistically efficient when the clusters are internally homogeneous. 
C)  In order to yield high statistical efficiency, each cluster in a cluster sample should include as many diverse universe values as possible. 
D)  One of the main advantages of cluster sampling over simple random sampling is its greater statistical efficiency for the same size sample. 
E)  All of the above statements are false. 
A)  In cluster sampling, the parent population is broken into mutually exclusive and exhaustive subgroups and a simple random sample is selected from each subgroup. 
B)  Cluster samples are most statistically efficient when the clusters are internally homogeneous. 
C)  In order to yield high statistical efficiency, each cluster in a cluster sample should include as many diverse universe values as possible. 
D)  One of the main advantages of cluster sampling over simple random sampling is its greater statistical efficiency for the same size sample. 
E)  All of the above statements are false.

Question 11

A sample where the respondent provides the names of other potential respondents is called a(n):

Accepted Answer

A)  judgment sample. 
B)  snowball sample. 
C)  quota sample. 
D)  accidental sample. 
E)  probability sample. 
A)  judgment sample. 
B)  snowball sample. 
C)  quota sample. 
D)  accidental sample. 
E)  probability sample.

Question 12

Sample size depends upon the:

Accepted Answer

A)  type of sample. 
B)  statistic in question. 
C)  homogeneity of the population. 
D)  Both a and c 
E)  a, b, and c. 
A)  type of sample. 
B)  statistic in question. 
C)  homogeneity of the population. 
D)  Both a and c 
E)  a, b, and c.

Question 13

In stratified random sampling, a sample of population units is randomly selected from each stratum of the population.

Accepted Answer

A) True 
 B)False

Question 14

A researcher is seeking a representative sample (of size n=50) of Fortune magazine's list of the 500 largest industrial corporations. She randomly decides to begin at company number 4 and then select every 10th company until 50 have been selected. The researcher is using what type of sampling plan?

Accepted Answer

A)  Simple random sampling 
B)  Judgment sampling 
C)  Systematic sampling 
D)  Stratified sampling 
E)  Convenience sampling 
A)  Simple random sampling 
B)  Judgment sampling 
C)  Systematic sampling 
D)  Stratified sampling 
E)  Convenience sampling

Question 15

A researcher wishes to sample from a population in which two important segments make up less than 2% of the population, but wishes to develop confidence intervals describing their behaviors. Which type of sampling is most appropriate?

Accepted Answer

A)  Stratified sampling 
B)  Convenience sampling 
C)  Systematic sampling 
D)  Simple random sampling 
E)  Judgment sampling 
A)  Stratified sampling 
B)  Convenience sampling 
C)  Systematic sampling 
D)  Simple random sampling 
E)  Judgment sampling

Question 16

Respondents can misunderstand, guess, lose attention, suffer distractions, and fatigue. These are all examples of unintentional respondent error and they all contribute to nonsampling error.

Accepted Answer

A) True 
 B)False

Question 17

A researcher wants to interview members of the junior class in a local high school that are interested in attending the local university in order to investigate their attitudes concerning the university's admissions policy. Although the researcher suspects that many of the juniors are interested in attending, the researcher cannot get a list of juniors but only has the names of the three students that have expressed their interest by writing to the admissions office. What sampling procedure should the researcher use to assemble a sample of adequate size?

Accepted Answer

A)  Simple random sampling 
B)  Referred sampling 
C)  Snowball sampling 
D)  Convenience sampling 
E)  Quota sampling 
A)  Simple random sampling 
B)  Referred sampling 
C)  Snowball sampling 
D)  Convenience sampling 
E)  Quota sampling

Question 18

The distinguishing feature of probability samples is that:

Accepted Answer

A)  they involve personal judgment somewhere in the selection of sample elements. 
B)  each population element has an equal chance of being included in the sample. 
C)  each population element has an equal chance of being included in the sample and every combination of n population elements is a sample possibility. 
D)  each population element has a known chance of being included in the sample. 
E)  they will always be more representative of the population than nonprobability samples. 
A)  they involve personal judgment somewhere in the selection of sample elements. 
B)  each population element has an equal chance of being included in the sample. 
C)  each population element has an equal chance of being included in the sample and every combination of n population elements is a sample possibility. 
D)  each population element has a known chance of being included in the sample. 
E)  they will always be more representative of the population than nonprobability samples.

Question 19

The difference between results obtained from a sample and results that would have been obtained had information been gathered from or about every member of the population is called ____________________.

Accepted Answer

The answer of The difference between results obtained from a...

Question 20

Which of the following is NOT TRUE for simple random sampling?

Accepted Answer

A)  Each element has a known chance of being selected. 
B)  Each element has a nonzero chance of being selected. 
C)  Each element has an equal chance of being selected. 
D)  Each combination of n population elements has an equal chance of being selected. 
E)  All of the above are true statements. 
A)  Each element has a known chance of being selected. 
B)  Each element has a nonzero chance of being selected. 
C)  Each element has an equal chance of being selected. 
D)  Each combination of n population elements has an equal chance of being selected. 
E)  All of the above are true statements.

Which of the following estimated population proportions would require the largest size sample to estimate it with a specified degree of precision and confidence?

It is only when sample size is allowed to vary that it is possible to achieve given levels of both precision and confidence.

If a newspaper editor asks a reporter to interview thirty males and thirty females from each of three geographical areas of a particular city for a prospective story, what type of sampling procedure is being used?

Choosing a sample of size n at random is statistically equivalent to first identifying all possible samples of size n in the population and then picking one of these samples randomly.

The distinguishing features of a simple random sample are:

A market researcher divides the Dallas metropolitan area into blocks having roughly equal populations. He then selects a random sample of blocks and sends interviewers to each block. The interviewers are instructed to interview every eighth dwelling unit. This is ____ sampling.

In order to define a population, the researcher needs to specify:

Which of the following statements is most accurate regarding the relationship between sample size and the sample representativeness?

If we were to ask college students "To what extent do they value a college degree?" which type of sample plan would be most appropriate?

Which of the following statements is TRUE?

A sample where the respondent provides the names of other potential respondents is called a(n):

Sample size depends upon the:

In stratified random sampling, a sample of population units is randomly selected from each stratum of the population.

A researcher is seeking a representative sample (of size n=50) of Fortune magazine's list of the 500 largest industrial corporations. She randomly decides to begin at company number 4 and then select every 10th company until 50 have been selected. The researcher is using what type of sampling plan?

A researcher wishes to sample from a population in which two important segments make up less than 2% of the population, but wishes to develop confidence intervals describing their behaviors. Which type of sampling is most appropriate?

Respondents can misunderstand, guess, lose attention, suffer distractions, and fatigue. These are all examples of unintentional respondent error and they all contribute to nonsampling error.

The distinguishing feature of probability samples is that:

The difference between results obtained from a sample and results that would have been obtained had information been gathered from or about every member of the population is called ____________________.

Which of the following is NOT TRUE for simple random sampling?

Marketing Research: From Data to Information to Action

The Research Question: Formulation of the Problem

Exploratory, Descriptive, and Causal Research Designs

Collecting Secondary Data from Inside and Outside the Organization

Collecting Primary Data by Observation

Collecting Primary Data by Communication

Asking Good Questions

Designing the Questionnaire

Data Collection: Enhancing Response Rates while Limiting Errors

Data Preparation for Analysis

Analysis & Interpretation: Individual Variables Independently

Analysis & Interpretation: Multiple Variables Simultaneously

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Exam 9: Developing the Sampling Plan

Which of the following estimated population proportions would require the largest size sample to estimate it with a specified degree of precision and confidence?

It is only when sample size is allowed to vary that it is possible to achieve given levels of both precision and confidence.

If a newspaper editor asks a reporter to interview thirty males and thirty females from each of three geographical areas of a particular city for a prospective story, what type of sampling procedure is being used?

Choosing a sample of size n at random is statistically equivalent to first identifying all possible samples of size n in the population and then picking one of these samples randomly.

The distinguishing features of a simple random sample are:

A market researcher divides the Dallas metropolitan area into blocks having roughly equal populations. He then selects a random sample of blocks and sends interviewers to each block. The interviewers are instructed to interview every eighth dwelling unit. This is ____ sampling.

In order to define a population, the researcher needs to specify:

Which of the following statements is most accurate regarding the relationship between sample size and the sample representativeness?

If we were to ask college students "To what extent do they value a college degree?" which type of sample plan would be most appropriate?

Which of the following statements is TRUE?

A sample where the respondent provides the names of other potential respondents is called a(n):

Sample size depends upon the:

In stratified random sampling, a sample of population units is randomly selected from each stratum of the population.

A researcher is seeking a representative sample (of size n=50) of Fortune magazine's list of the 500 largest industrial corporations. She randomly decides to begin at company number 4 and then select every 10th company until 50 have been selected. The researcher is using what type of sampling plan?

A researcher wishes to sample from a population in which two important segments make up less than 2% of the population, but wishes to develop confidence intervals describing their behaviors. Which type of sampling is most appropriate?

Respondents can misunderstand, guess, lose attention, suffer distractions, and fatigue. These are all examples of unintentional respondent error and they all contribute to nonsampling error.

The distinguishing feature of probability samples is that:

The difference between results obtained from a sample and results that would have been obtained had information been gathered from or about every member of the population is called ____________________.

Which of the following is NOT TRUE for simple random sampling?

Marketing Research: From Data to Information to Action

The Research Question: Formulation of the Problem

Exploratory, Descriptive, and Causal Research Designs

Collecting Secondary Data from Inside and Outside the Organization

Collecting Primary Data by Observation

Collecting Primary Data by Communication

Asking Good Questions

Designing the Questionnaire

Data Collection: Enhancing Response Rates while Limiting Errors

Data Preparation for Analysis

Analysis & Interpretation: Individual Variables Independently

Analysis & Interpretation: Multiple Variables Simultaneously

The Research Report

Filters