Question 1

To determine the necessary sample size,you need to know how

Accepted Answer

A) homogeneous or similar the population is on the characteristic to be estimated. 
B) much precision is needed in the estimate. 
C) confident you need to be that the true value falls within the precision range you've established. 
D) All of these are correct. 
E) None of these are correct. 
A) homogeneous or similar the population is on the characteristic to be estimated. 
B) much precision is needed in the estimate. 
C) confident you need to be that the true value falls within the precision range you've established. 
D) All of these are correct. 
E) None of these are correct.

Question 2

In order to use a table of random numbers to draw a simple random sample,the researcher must

Accepted Answer

A) serially number the sample elements. 
B) specify the parent population distribution. 
C) calculate the population variance. 
D) serially number the population elements. 
E) assume that the central-limit theorem holds for the population in question. 
A) serially number the sample elements. 
B) specify the parent population distribution. 
C) calculate the population variance. 
D) serially number the population elements. 
E) assume that the central-limit theorem holds for the population in question.

Question 3

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 4

Which of the following is NOT a problem with using a phone book for a sampling frame?

Accepted Answer

A) Unlisted phone numbers 
B) Not all homes have phones. 
C) Double counting homes with multiple phone numbers 
D) The phone book is always outdated. 
E) All of these are problems when sampling from phone books. 
A) Unlisted phone numbers 
B) Not all homes have phones. 
C) Double counting homes with multiple phone numbers 
D) The phone book is always outdated. 
E) All of these are problems when sampling from phone books.

Question 5

A researcher divides the city of Flint,Michigan,into 500 blocks of 10 households each.She requires a sample of 400 households.She 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 6

A population is a subset of elements from a larger group of objects.

Accepted Answer

A) True 
 B)False

Question 7

If a local newspaper reporter tries to gather information about perceptions of a proposed comprehensive "senior exit exam" by interviewing officers from the university's student senate (because they are well informed about the feelings of the general student body),what type of sampling procedure is he using?

Accepted Answer

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

Question 8

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

Accepted Answer

A) True 
 B)False

Question 9

The distinguishing features of a simple random sample are that

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) None of these are correct. 
E) All of these are correct. 
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) None of these are correct. 
E) All of these are correct.

Question 10

A problem with nonprobability samples is

Accepted Answer

A) they are always more representative than probability samples. 
B) one cannot assess the amount of sampling error likely to occur. 
C) there is no problem with using nonprobability samples 
D) All of these are correct. 
E) None of these are correct. 
A) they are always more representative than probability samples. 
B) one cannot assess the amount of sampling error likely to occur. 
C) there is no problem with using nonprobability samples 
D) All of these are correct. 
E) None of these are correct.

Question 11

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 12

The primary advantage of area sampling plans is

Accepted Answer

A) area sampling data is easy to tabulate and analyse. 
B) they don't require probability-based methods of element selection. 
C) results can be generalized from one area to another without loss of statistical efficiency. 
D) they don't require a list of elements from the population of interest. 
E) the results are more understandable for the general public than other more complex plans. 
A) area sampling data is easy to tabulate and analyse. 
B) they don't require probability-based methods of element selection. 
C) results can be generalized from one area to another without loss of statistical efficiency. 
D) they don't require a list of elements from the population of interest. 
E) the results are more understandable for the general public than other more complex plans.

Question 13

Quota samples are typically selected so that the distribution of a characteristic in the sample matches the distribution of that same characteristic in the population.With respect to the representativeness of quota samples,it can thus be said that

Accepted Answer

A) a quota sample may be very far off the mark with respect to other important characteristics likely to influence the result but which were not used as controls when selecting the sample. 
B) the fact that the distribution of the characteristic in the sample parallels the distribution in the population does not guarantee that the sample is representative. 
C) Neither of these are correct. 
D) Both of these are correct. 
A) a quota sample may be very far off the mark with respect to other important characteristics likely to influence the result but which were not used as controls when selecting the sample. 
B) the fact that the distribution of the characteristic in the sample parallels the distribution in the population does not guarantee that the sample is representative. 
C) Neither of these are correct. 
D) Both of these are correct.

Question 14

The distinguishing feature of cluster samples in comparison to other probability sampling plans is that cluster samples

Accepted Answer

A) provide each population element with an equal chance of being included in the sample. 
B) provide each population element with a known chance of being included in the sample. 
C) involve the partitioning of the parent population into mutually exclusive and exhaustive subsets. 
D) involve the partitioning of the parent population into mutually exclusive and exhaustive subsets and the probabilistic selection of elements from each subset. 
E) utilize the probabilistic selection of groups rather than elements. 
A) provide each population element with an equal chance of being included in the sample. 
B) provide each population element with a known chance of being included in the sample. 
C) involve the partitioning of the parent population into mutually exclusive and exhaustive subsets. 
D) involve the partitioning of the parent population into mutually exclusive and exhaustive subsets and the probabilistic selection of elements from each subset. 
E) utilize the probabilistic selection of groups rather than elements.

Question 15

A quota 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

A) True 
 B)False

Question 16

Many online panels in use today are essentially large quota samples.

Accepted Answer

A) True 
 B)False

Question 17

The goal with cluster sampling is to have clusters that are as homogeneous as possible.

Accepted Answer

A) True 
 B)False

Question 18

The range within which to population parameter is likely to fall in the population based on the sample statistic is known as the

Accepted Answer

A) confidence frame. 
B) sampling interval. 
C) confidence interval. 
D) sampling frame. 
E) parameter interval. 
A) confidence frame. 
B) sampling interval. 
C) confidence interval. 
D) sampling frame. 
E) parameter interval.

Question 19

The differences between a cluster sample and a stratified sample are that in a

Accepted Answer

A) cluster sample,the parent population is divided into mutually exclusive and exhaustive subsets. 
B) stratified sample,the parent population is divided into mutually exclusive and exhaustive subsets. 
C) stratified sample,a simple random sample of elements is chosen independently from each group or subset,while in a cluster sample,a random sample of the subsets is selected. 
D) cluster sample,a simple random sample of elements is chosen independently from each group or subset,while in a stratified sample,a random sample of the subsets is selected. 
E) None of these are correct. 
A) cluster sample,the parent population is divided into mutually exclusive and exhaustive subsets. 
B) stratified sample,the parent population is divided into mutually exclusive and exhaustive subsets. 
C) stratified sample,a simple random sample of elements is chosen independently from each group or subset,while in a cluster sample,a random sample of the subsets is selected. 
D) cluster sample,a simple random sample of elements is chosen independently from each group or subset,while in a stratified sample,a random sample of the subsets is selected. 
E) None of these are correct.

Question 20

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

Accepted Answer

A) True 
 B)False

To determine the necessary sample size,you need to know how

In order to use a table of random numbers to draw a simple random sample,the researcher must

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

Which of the following is NOT a problem with using a phone book for a sampling frame?

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

A population is a subset of elements from a larger group of objects.

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

The distinguishing features of a simple random sample are that

A problem with nonprobability samples is

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

The primary advantage of area sampling plans is

Quota samples are typically selected so that the distribution of a characteristic in the sample matches the distribution of that same characteristic in the population.With respect to the representativeness of quota samples,it can thus be said that

The distinguishing feature of cluster samples in comparison to other probability sampling plans is that cluster samples

A quota 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.

Many online panels in use today are essentially large quota samples.

The goal with cluster sampling is to have clusters that are as homogeneous as possible.

The range within which to population parameter is likely to fall in the population based on the sample statistic is known as the

The differences between a cluster sample and a stratified sample are that in a

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

The Role of Marketing Research

The Research Process and Ethical Concerns

Problem Formulation

Exploratory Research

Decision Support Systems: Introduction

Decision Support Systems: Working With Big Data

Using External Secondary Data

Conducting Causal Research

Collecting Descriptive Primary Data

Collecting Data by Observation

Collecting Data by Communication

Asking Good Questions

Designing the Data Collection Form for Communication Data

Data Collection: Types of Error and Response Rate Calculation

Data Preparation for Analysis

Analysis and Interpretation: Individual Variables Independently

Analysis and Interpretation: Multiple Variables Simultaneously

The Oral Research Presentation

The Written Research Report

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Exam 14: Developing the Sampling Plan

To determine the necessary sample size,you need to know how

In order to use a table of random numbers to draw a simple random sample,the researcher must

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

Which of the following is NOT a problem with using a phone book for a sampling frame?

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

A population is a subset of elements from a larger group of objects.

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

The distinguishing features of a simple random sample are that

A problem with nonprobability samples is

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

The primary advantage of area sampling plans is

Quota samples are typically selected so that the distribution of a characteristic in the sample matches the distribution of that same characteristic in the population.With respect to the representativeness of quota samples,it can thus be said that

The distinguishing feature of cluster samples in comparison to other probability sampling plans is that cluster samples

A quota 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.

Many online panels in use today are essentially large quota samples.

The goal with cluster sampling is to have clusters that are as homogeneous as possible.

The range within which to population parameter is likely to fall in the population based on the sample statistic is known as the

The differences between a cluster sample and a stratified sample are that in a

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

The Role of Marketing Research

The Research Process and Ethical Concerns

Problem Formulation

Exploratory Research

Decision Support Systems: Introduction

Decision Support Systems: Working With Big Data

Using External Secondary Data

Conducting Causal Research

Collecting Descriptive Primary Data

Collecting Data by Observation

Collecting Data by Communication

Asking Good Questions

Designing the Data Collection Form for Communication Data

Data Collection: Types of Error and Response Rate Calculation

Data Preparation for Analysis

Analysis and Interpretation: Individual Variables Independently

Analysis and Interpretation: Multiple Variables Simultaneously

The Oral Research Presentation

The Written Research Report

Filters