Question 1

In practice, simple random sampling should be strongly considered:

Accepted Answer

A)  if the population is small and can be numbered easily. 
B)  in telephone surveys where random digit dialing programs may be used to generate numbers. 
C)  when population units are stored in an electronic file allowing computer programs to randomly select the sample. 
D)  All of the above are situations that allow for the practical application of simple random sampling. 
E)  None of the situations allow the practical application of simple random sampling. 
A)  if the population is small and can be numbered easily. 
B)  in telephone surveys where random digit dialing programs may be used to generate numbers. 
C)  when population units are stored in an electronic file allowing computer programs to randomly select the sample. 
D)  All of the above are situations that allow for the practical application of simple random sampling. 
E)  None of the situations allow the practical application of simple random sampling.

Question 2

To develop a representative, systematic sample of personal income, the population census:

Accepted Answer

A)  should be ordered at random. 
B)  should be ordered from high to low income. 
C)  should be ordered from low to high income. 
D)  Either b or c is correct. 
E)  None of the above. 
A)  should be ordered at random. 
B)  should be ordered from high to low income. 
C)  should be ordered from low to high income. 
D)  Either b or c is correct. 
E)  None of the above.

Question 3

For simple random sampling, the mean of all possible sample means is equal to the population mean when which of the following conditions is true. Choose the best possible answer.

Accepted Answer

A)  Sampling is with replacement. 
B)  Sampling is without replacement. 
C)  Sampling is from an infinite population. 
D)  Sampling is from a finite population. 
E)  Sampling is with or without replacement and from an infinite or finite population. 
A)  Sampling is with replacement. 
B)  Sampling is without replacement. 
C)  Sampling is from an infinite population. 
D)  Sampling is from a finite population. 
E)  Sampling is with or without replacement and from an infinite or finite population.

Question 4

The sampling distribution of a statistic refers to the:

Accepted Answer

A)  distribution of all possible sample values of the statistic that could be drawn from the parent population under the specified sampling plan. 
B)  distribution of the variable in the parent population. 
C)  distribution of the variable in a particular sample. 
D)  spread of the variable in the parent population. 
E)  unbiased nature of most sample statistics. 
A)  distribution of all possible sample values of the statistic that could be drawn from the parent population under the specified sampling plan. 
B)  distribution of the variable in the parent population. 
C)  distribution of the variable in a particular sample. 
D)  spread of the variable in the parent population. 
E)  unbiased nature of most sample statistics.

Question 5

Systematic sampling is a form of:

Accepted Answer

A)  cluster sampling. 
B)  stratified sampling. 
C)  quota sampling. 
D)  convenience sampling. 
E)  simple random sampling. 
A)  cluster sampling. 
B)  stratified sampling. 
C)  quota sampling. 
D)  convenience sampling. 
E)  simple random sampling.

Question 6

A sample in which each target population element has a known, nonzero chance of being included in the sample is called a(n) ____________________ sample.

Accepted Answer

The answer of A sample in which each target population...

Question 7

Sample size (n) is related to the degree of the confidence (1-alpha) in that the:

Accepted Answer

A)  larger the degree of confidence, the larger the sample size. 
B)  smaller the degree of confidence, he larger the sample size. 
C)  sample size would be the same irrespective of the degree of confidence. 
D)  sample size formula is related to z and not to the degree f confidence. 
E)  None of the above. 
A)  larger the degree of confidence, the larger the sample size. 
B)  smaller the degree of confidence, he larger the sample size. 
C)  sample size would be the same irrespective of the degree of confidence. 
D)  sample size formula is related to z and not to the degree f confidence. 
E)  None of the above.

Question 8

If you decided to interview members of your class with regard to issues relating to the university and college life, you would have selected the ____ as a means of sampling members of the total population.

Accepted Answer

A)  simple random sample 
B)  stratified random sample 
C)  cluster (area) sample 
D)  convenience sample 
E)  quota sample 
A)  simple random sample 
B)  stratified random sample 
C)  cluster (area) sample 
D)  convenience sample 
E)  quota sample

Question 9

A researcher divides the city of Flint, Michigan, into 500 blocks of 10 households each. He requires a sample of 400 households. He selects a sample by randomly selecting 100 blocks and randomly selecting 4 households per block. This is an example of ____.

Accepted Answer

A)  systematic sampling 
B)  two-stage area sampling 
C)  probability-proportional-to-size sampling 
D)  one-stage area sampling 
E)  sequential sampling 
A)  systematic sampling 
B)  two-stage area sampling 
C)  probability-proportional-to-size sampling 
D)  one-stage area sampling 
E)  sequential sampling

Question 10

A(n) ____________________ sample is a nonprobability sample chosen so that the proportion of sample elements with certain characteristics is about the same as the proportion of the elements with the characteristics of the target population.

Accepted Answer

The answer of A(n) ____________________ sample is a nonprobability sample...

Question 11

Which of the following is TRUE?

Accepted Answer

A)  When sampling from a population that is highly skewed, a cluster sample generally provides the most representative sample. 
B)  Stratified sampling is a very useful sampling technique. It allows closer examination of the characteristics of particular subgroups. It also lowers the chance of error by ensuring that subgroups are adequately represented in the sample. However, this method generally produces less precise estimates of population values than simple random samples. 
C)  In calculating the standard error of the mean when using a stratified sample, one finds that differences among strata means do not enter the estimate. 
D)  When using proportional allocation in stratified random sampling, one samples from each of the strata in proportion to their respective variabilities. 
E)  The sampling distribution of means for stratified sampling is generally less concentrated than that obtained from simple random sampling. 
A)  When sampling from a population that is highly skewed, a cluster sample generally provides the most representative sample. 
B)  Stratified sampling is a very useful sampling technique. It allows closer examination of the characteristics of particular subgroups. It also lowers the chance of error by ensuring that subgroups are adequately represented in the sample. However, this method generally produces less precise estimates of population values than simple random samples. 
C)  In calculating the standard error of the mean when using a stratified sample, one finds that differences among strata means do not enter the estimate. 
D)  When using proportional allocation in stratified random sampling, one samples from each of the strata in proportion to their respective variabilities. 
E)  The sampling distribution of means for stratified sampling is generally less concentrated than that obtained from simple random sampling.

Question 12

One goal of stratified sampling plans is to decrease the amount of variability in each stratum. This can be accomplished by:

Accepted Answer

A)  making the strata internally heterogeneous. 
B)  increasing the amount of sampling error. 
C)  decreasing the magnitude of the overall sample mean. 
D)  making the strata internally homogeneous. 
E)  using a 99% confidence level instead of a 95% confidence level. 
A)  making the strata internally heterogeneous. 
B)  increasing the amount of sampling error. 
C)  decreasing the magnitude of the overall sample mean. 
D)  making the strata internally homogeneous. 
E)  using a 99% confidence level instead of a 95% confidence level.

Question 13

PGA conducts a study in which they use a simple random sample of 600 golfers. They examine the data from the sample and calculate that 28% of them own golf clubs made in the USA. The 28% is the:

Accepted Answer

A)  average handicap of these golfers. 
B)  sample statistic. 
C)  population mean for all golfers. 
D)  population parameter. 
E)  None of the above. 
A)  average handicap of these golfers. 
B)  sample statistic. 
C)  population mean for all golfers. 
D)  population parameter. 
E)  None of the above.

Question 14

In probability samples, the probabilities of each element being included must be:

Accepted Answer

A)  known. 
B)  nonzero. 
C)  equal. 
D)  known and equal. 
E)  known and nonzero. 
A)  known. 
B)  nonzero. 
C)  equal. 
D)  known and equal. 
E)  known and nonzero.

Question 15

A sampling frame:

Accepted Answer

A)  is a list of population elements from which the sample will be drawn. 
B)  is the list of population elements actually included in the sample. 
C)  usually provides biased statistics. 
D)  is a form of probability sampling. 
E)  is a form of nonprobability sampling. 
A)  is a list of population elements from which the sample will be drawn. 
B)  is the list of population elements actually included in the sample. 
C)  usually provides biased statistics. 
D)  is a form of probability sampling. 
E)  is a form of nonprobability sampling.

Question 16

Jane Doe wants to administer a short survey on "student driving habits" to a representative sample of students at the local university. She secured a list of students from the student directory. She assigned each student a unique number and then used a random number table to select her sample. Jane Doe is most likely using a:

Accepted Answer

A)  quota sample technique. 
B)  probability sampling technique. 
C)  cluster sample technique. 
D)  statistical inference. 
E)  judgment sampling technique. 
A)  quota sample technique. 
B)  probability sampling technique. 
C)  cluster sample technique. 
D)  statistical inference. 
E)  judgment sampling technique.

Question 17

Which of the following is NOT a probability sample?

Accepted Answer

A)  Simple random sample 
B)  Stratified sample 
C)  Cluster sample 
D)  Judgment sample 
E)  All of the above are probability samples. 
A)  Simple random sample 
B)  Stratified sample 
C)  Cluster sample 
D)  Judgment sample 
E)  All of the above are probability samples.

Question 18

Samples are often used to infer something about a population rather than canvassing the population itself because they are typically:

Accepted Answer

A)  cheaper than complete counts. 
B)  faster than complete counts. 
C)  more accurate than complete counts. 
D)  Both a and b 
E)  a, b, and c. 
A)  cheaper than complete counts. 
B)  faster than complete counts. 
C)  more accurate than complete counts. 
D)  Both a and b 
E)  a, b, and c.

Question 19

In simple random sampling, every population unit has an equal chance of being chosen.

Accepted Answer

A) True 
 B)False

Question 20

There is a trade-off between the confidence level and the degree of precision of the estimate when the:

Accepted Answer

A)  population is finite. 
B)  sample size is fixed. 
C)  sample size varies. 
D)  population is infinite. 
E)  sample size is small. 
A)  population is finite. 
B)  sample size is fixed. 
C)  sample size varies. 
D)  population is infinite. 
E)  sample size is small.

In practice, simple random sampling should be strongly considered:

To develop a representative, systematic sample of personal income, the population census:

For simple random sampling, the mean of all possible sample means is equal to the population mean when which of the following conditions is true. Choose the best possible answer.

The sampling distribution of a statistic refers to the:

Systematic sampling is a form of:

A sample in which each target population element has a known, nonzero chance of being included in the sample is called a(n) ____________________ sample.

Sample size (n) is related to the degree of the confidence (1-alpha) in that the:

If you decided to interview members of your class with regard to issues relating to the university and college life, you would have selected the ____ as a means of sampling members of the total population.

A researcher divides the city of Flint, Michigan, into 500 blocks of 10 households each. He requires a sample of 400 households. He selects a sample by randomly selecting 100 blocks and randomly selecting 4 households per block. This is an example of ____.

A(n) ____________________ sample is a nonprobability sample chosen so that the proportion of sample elements with certain characteristics is about the same as the proportion of the elements with the characteristics of the target population.

Which of the following is TRUE?

One goal of stratified sampling plans is to decrease the amount of variability in each stratum. This can be accomplished by:

PGA conducts a study in which they use a simple random sample of 600 golfers. They examine the data from the sample and calculate that 28% of them own golf clubs made in the USA. The 28% is the:

In probability samples, the probabilities of each element being included must be:

A sampling frame:

Which of the following is NOT a probability sample?

Samples are often used to infer something about a population rather than canvassing the population itself because they are typically:

In simple random sampling, every population unit has an equal chance of being chosen.

There is a trade-off between the confidence level and the degree of precision of the estimate when the:

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

In practice, simple random sampling should be strongly considered:

To develop a representative, systematic sample of personal income, the population census:

For simple random sampling, the mean of all possible sample means is equal to the population mean when which of the following conditions is true. Choose the best possible answer.

The sampling distribution of a statistic refers to the:

Systematic sampling is a form of:

A sample in which each target population element has a known, nonzero chance of being included in the sample is called a(n) ____________________ sample.

Sample size (n) is related to the degree of the confidence (1-alpha) in that the:

If you decided to interview members of your class with regard to issues relating to the university and college life, you would have selected the ____ as a means of sampling members of the total population.

A researcher divides the city of Flint, Michigan, into 500 blocks of 10 households each. He requires a sample of 400 households. He selects a sample by randomly selecting 100 blocks and randomly selecting 4 households per block. This is an example of ____.

A(n) ____________________ sample is a nonprobability sample chosen so that the proportion of sample elements with certain characteristics is about the same as the proportion of the elements with the characteristics of the target population.

Which of the following is TRUE?

One goal of stratified sampling plans is to decrease the amount of variability in each stratum. This can be accomplished by:

PGA conducts a study in which they use a simple random sample of 600 golfers. They examine the data from the sample and calculate that 28% of them own golf clubs made in the USA. The 28% is the:

In probability samples, the probabilities of each element being included must be:

A sampling frame:

Which of the following is NOT a probability sample?

Samples are often used to infer something about a population rather than canvassing the population itself because they are typically:

In simple random sampling, every population unit has an equal chance of being chosen.

There is a trade-off between the confidence level and the degree of precision of the estimate when the:

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