Question 1

A sampling method that separates the population into different subgroups, and then samples all of these subgroups, is called:

Accepted Answer

A)  stratified sampling. 
B)  area sampling. 
C)  cluster sampling. 
D)  simple sampling. 
E)  comprehensive sampling. 
A)  stratified sampling. 
B)  area sampling. 
C)  cluster sampling. 
D)  simple sampling. 
E)  comprehensive sampling. A

Question 2

It is a researcher's responsibility to seek out a sample frame with the least amount of error at a reasonable cost.

Accepted Answer

A) True 
 B)False  True

Question 3

Incidence rate refers to:

Accepted Answer

A)  the percent of individuals in the sample who qualify to take the survey. 
B)  the percent of people who qualify as members of the sample frame error. 
C)  the percent of people not on a list who qualify as members of the sample frame error. 
D)  the percent of people who have been previously sampled. 
E)  the percent of mistakes made in sampling. 
A)  the percent of individuals in the sample who qualify to take the survey. 
B)  the percent of people who qualify as members of the sample frame error. 
C)  the percent of people not on a list who qualify as members of the sample frame error. 
D)  the percent of people who have been previously sampled. 
E)  the percent of mistakes made in sampling. A

Question 4

Instead of determining representativeness, the size of the sample affects the sample accuracy of the results.

Accepted Answer

A) True 
 B)False

Question 5

Consider that we have nominal data and the responses are "Yes" or "No" to the question: "The next time you order pizza, will you order Domino's?" Which of the following sets of responses shows the MOST variability?

Accepted Answer

A)  99 percent say "Yes" and 1 percent say "No" 
B)  80 percent say "Yes" and 20 percent say "No" 
C)  70 percent say "Yes" and 30 percent say "No" 
D)  60 percent say "Yes" and 40 percent say "No" 
E)  51 percent say "Yes" and 49 percent say "No" 
A)  99 percent say "Yes" and 1 percent say "No" 
B)  80 percent say "Yes" and 20 percent say "No" 
C)  70 percent say "Yes" and 30 percent say "No" 
D)  60 percent say "Yes" and 40 percent say "No" 
E)  51 percent say "Yes" and 49 percent say "No"

Question 6

A packaged food company is looking at conducting enter the Canadian marketplace with its new line of frozen healthy after-school snacks. Before launching the product they want to determine what the best pricing strategy will be with their target market without the incurring the time or cost of a census. The research firm they hired suggested they subdivide the Canadian population into geographic areas. Given the diversity that exists across Canada, they suggested that they then select a random sample of the areas to ensure a representative sample. What form of sampling was the firm recommending?

Accepted Answer

A)  eeographic sampling 
B)  random area sampling 
C)  two-step area sampling 
D)  stratified sampling 
E)  stratified random sampling 
A)  eeographic sampling 
B)  random area sampling 
C)  two-step area sampling 
D)  stratified sampling 
E)  stratified random sampling

Question 7

In stratified sampling, subgroups are referred to as clusters.

Accepted Answer

A) True 
 B)False

Question 8

A census is defined as a subset of the population that somehow represents that entire group.

Accepted Answer

A) True 
 B)False

Question 9

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 cannot be used to generate numbers. 
C)  when population units are stored in an electronic file allowing computer programs to run quota samples. 
D)  when a complex random sample proves too difficult for the researcher. 
E)  for underdeveloped countries only. 
A)  if the population is small and can be numbered easily. 
B)  in telephone surveys where random digit dialing programs cannot be used to generate numbers. 
C)  when population units are stored in an electronic file allowing computer programs to run quota samples. 
D)  when a complex random sample proves too difficult for the researcher. 
E)  for underdeveloped countries only.

Question 10

When using nonprobability samples instead of probability samples, different formulas must be applied to determine the appropriate sample size that precisely balances desired accuracy, variability in the population, and level of confidence.

Accepted Answer

A) True 
 B)False

Question 11

Sample size calculations will need to be adjusted due to incidence rate, nonresponse, and even cost constraints.

Accepted Answer

A) True 
 B)False

Question 12

An "educated guess" as to who should represent the population is required for:

Accepted Answer

A)  convenience samples. 
B)  judment samples. 
C)  quota samples. 
D)  referral samples. 
E)  hypothetical samples. 
A)  convenience samples. 
B)  judment samples. 
C)  quota samples. 
D)  referral samples. 
E)  hypothetical samples.

Question 13

The confidence interval formula for determining sample size applies the concepts of accuracy, variability, and confidence level to create determine sample size.

Accepted Answer

A) True 
 B)False

Question 14

The skip interval used in systematic sampling is computed by dividing the population list size by the sample size.

Accepted Answer

A) True 
 B)False

Question 15

Random online intercept sampling uses some form of random selection in order to ask visitors at websites to participate in surveys.

Accepted Answer

A) True 
 B)False

Question 16

Sample error may only be determined after data have been collected. Even if we know the level of confidence, an estimate of variability and the sample size, we cannot compute the amount of sample error we can expect to experience.

Accepted Answer

A) True 
 B)False

Question 17

Calculation of the "skip interval" is important in which sampling plan?

Accepted Answer

A)  simple random sample 
B)  systematic sample 
C)  "skip" sample 
D)  cluster sample 
E)  interval sample 
A)  simple random sample 
B)  systematic sample 
C)  "skip" sample 
D)  cluster sample 
E)  interval sample

Question 18

An entire group under study, as specified by the objectives of the research project, is known as the:

Accepted Answer

A)  population 
B)  sample 
C)  sample unit 
D)  census 
E)  study group 
A)  population 
B)  sample 
C)  sample unit 
D)  census 
E)  study group

Question 19

Random digit dialing is an example in which simple random sampling is employed quite successfully.

Accepted Answer

A) True 
 B)False

Question 20

Stratified samples are most appropriate when the population is known to be "skewed."

Accepted Answer

A) True 
 B)False

A sampling method that separates the population into different subgroups, and then samples all of these subgroups, is called:

It is a researcher's responsibility to seek out a sample frame with the least amount of error at a reasonable cost.

Incidence rate refers to:

Instead of determining representativeness, the size of the sample affects the sample accuracy of the results.

Consider that we have nominal data and the responses are "Yes" or "No" to the question: "The next time you order pizza, will you order Domino's?" Which of the following sets of responses shows the MOST variability?

In stratified sampling, subgroups are referred to as clusters.

A census is defined as a subset of the population that somehow represents that entire group.

In practice, simple random sampling should be strongly considered:

When using nonprobability samples instead of probability samples, different formulas must be applied to determine the appropriate sample size that precisely balances desired accuracy, variability in the population, and level of confidence.

Sample size calculations will need to be adjusted due to incidence rate, nonresponse, and even cost constraints.

An "educated guess" as to who should represent the population is required for:

The confidence interval formula for determining sample size applies the concepts of accuracy, variability, and confidence level to create determine sample size.

The skip interval used in systematic sampling is computed by dividing the population list size by the sample size.

Random online intercept sampling uses some form of random selection in order to ask visitors at websites to participate in surveys.

Sample error may only be determined after data have been collected. Even if we know the level of confidence, an estimate of variability and the sample size, we cannot compute the amount of sample error we can expect to experience.

Calculation of the "skip interval" is important in which sampling plan?

An entire group under study, as specified by the objectives of the research project, is known as the:

Random digit dialing is an example in which simple random sampling is employed quite successfully.

Stratified samples are most appropriate when the population is known to be "skewed."

Introducing Marketing Research

The Marketing Research Process

Research Design

Using Secondary Data and Online Information Databases

Qualitative Research Methods

Quantitative Data Collection Methods

Survey Measurement Scales

Questionnaire Design

Data Collection and Basic Descriptive Statistics

Population Estimates and Hypothesis Testing

Testing of Differences

Relationships Between Variables

Communicating the Research Results

Filters

Exam 9: Sampling

A sampling method that separates the population into different subgroups, and then samples all of these subgroups, is called:

It is a researcher's responsibility to seek out a sample frame with the least amount of error at a reasonable cost.

Incidence rate refers to:

Instead of determining representativeness, the size of the sample affects the sample accuracy of the results.

Consider that we have nominal data and the responses are "Yes" or "No" to the question: "The next time you order pizza, will you order Domino's?" Which of the following sets of responses shows the MOST variability?

In stratified sampling, subgroups are referred to as clusters.

A census is defined as a subset of the population that somehow represents that entire group.

In practice, simple random sampling should be strongly considered:

When using nonprobability samples instead of probability samples, different formulas must be applied to determine the appropriate sample size that precisely balances desired accuracy, variability in the population, and level of confidence.

Sample size calculations will need to be adjusted due to incidence rate, nonresponse, and even cost constraints.

An "educated guess" as to who should represent the population is required for:

The confidence interval formula for determining sample size applies the concepts of accuracy, variability, and confidence level to create determine sample size.

The skip interval used in systematic sampling is computed by dividing the population list size by the sample size.

Random online intercept sampling uses some form of random selection in order to ask visitors at websites to participate in surveys.

Sample error may only be determined after data have been collected. Even if we know the level of confidence, an estimate of variability and the sample size, we cannot compute the amount of sample error we can expect to experience.

Calculation of the "skip interval" is important in which sampling plan?

An entire group under study, as specified by the objectives of the research project, is known as the:

Random digit dialing is an example in which simple random sampling is employed quite successfully.

Stratified samples are most appropriate when the population is known to be "skewed."

Introducing Marketing Research

The Marketing Research Process

Research Design

Using Secondary Data and Online Information Databases

Qualitative Research Methods

Quantitative Data Collection Methods

Survey Measurement Scales

Questionnaire Design

Data Collection and Basic Descriptive Statistics

Population Estimates and Hypothesis Testing

Testing of Differences

Relationships Between Variables

Communicating the Research Results

Filters