Question 1

Probability sampling introduces certain biases, from an operational perspective, but offers the advantages of being less expensive and quicker to implement.

Accepted Answer

A) True 
 B)False

Question 2

The goal of developing an appropriate sample frame is to get a list of elements of the target population that is inclusive but with minimal duplication.

Accepted Answer

A) True 
 B)False

Question 3

Nonprobability sampling techniques do not involve the selection of sample elements by chance.

Accepted Answer

A) True 
 B)False

Question 4

The representativeness of the _____ depends on the skill, insight, and experience of the researcher in choosing experts to sample.

Accepted Answer

A)  convenience sample 
B)  judgment sample 
C)  stratified sample 
D)  quota sample 
A)  convenience sample 
B)  judgment sample 
C)  stratified sample 
D)  quota sample

Question 5

Nonprobability sampling allows for the calculation of the sample error.

Accepted Answer

A) True 
 B)False

Question 6

Two criteria are used in measuring the accuracy of a sample: the margin of error and the level of confidence.

Accepted Answer

A) True 
 B)False

Question 7

A simple random sample allows each element of the population an equal and known chance of being selected.

Accepted Answer

A) True 
 B)False

Question 8

A problem with quota sampling is that the sampling error cannot be calculated.

Accepted Answer

A) True 
 B)False

Question 9

From a statistical point of view, probability sampling is not preferred because it does not allow for a calculation of the sampling error.

Accepted Answer

A) True 
 B)False

Question 10

The most significant advantages of sampling include all of the following except

Accepted Answer

A)  cost savings 
B)  time economy 
C)  lower practicality 
D)  less total error 
A)  cost savings 
B)  time economy 
C)  lower practicality 
D)  less total error

Question 11

The statistical methods of establishing sample size apply only to nonprobability samples.

Accepted Answer

A) True 
 B)False

Question 12

Reasons for choosing to stratify a population sample include all of the following except

Accepted Answer

A)  a desire to maximize variance 
B)  a desire to minimize sampling error 
C)  a desire to keep the sample element selection process simple 
D)  a desire to increase precision 
A)  a desire to maximize variance 
B)  a desire to minimize sampling error 
C)  a desire to keep the sample element selection process simple 
D)  a desire to increase precision

Question 13

A cluster sampling is initiated by randomly selecting a digit, n, then selecting a sample element at every nth interval.

Accepted Answer

A) True 
 B)False

Question 14

Sample bias is introduced into a sample when the

Accepted Answer

A)  researcher intentionally introduces errors into the responses 
B)  sample varies in some systematic way from the larger population 
C)  researcher unintentionally introduces errors into the responses 
D)  sample does not perfectly represent the population being studied 
A)  researcher intentionally introduces errors into the responses 
B)  sample varies in some systematic way from the larger population 
C)  researcher unintentionally introduces errors into the responses 
D)  sample does not perfectly represent the population being studied

Question 15

Two criteria are used in measuring the accuracy of a sample: the margin of error and the sample size.

Accepted Answer

A) True 
 B)False

Question 16

The standard deviation of a sample is estimated to be 100 and the standard error has been calculated to be 5. What size of sample will the researcher need to ensure a 95.5% confidence interval (Z=2.00)?

Accepted Answer

A)  400 
B)  800 
C)  1000 
D)  10000 
A)  400 
B)  800 
C)  1000 
D)  10000

Question 17

Generally speaking, the sample size should be increased whenever the population exhibits high variability or whenever high levels of precision and confidence are required.

Accepted Answer

A) True 
 B)False

Question 18

Non-sampling error can occur when all of the following occur except the

Accepted Answer

A)  researcher intentionally introduces errors into the responses 
B)  respondent intentionally introduces errors into the responses 
C)  researcher unintentionally introduces errors into the responses 
D)  sample does not perfectly represent the population being studied 
A)  researcher intentionally introduces errors into the responses 
B)  respondent intentionally introduces errors into the responses 
C)  researcher unintentionally introduces errors into the responses 
D)  sample does not perfectly represent the population being studied

Question 19

In terms of nonstatistical sample size determination, perhaps the most common method of selecting a sample size is

Accepted Answer

A)  previous sample sizes 
B)  resource simulation 
C)  a magic number 
D)  a typical sample size 
A)  previous sample sizes 
B)  resource simulation 
C)  a magic number 
D)  a typical sample size

Question 20

The more confident a researcher wants to be, the smaller the sample should be.

Accepted Answer

A) True 
 B)False

Probability sampling introduces certain biases, from an operational perspective, but offers the advantages of being less expensive and quicker to implement.

The goal of developing an appropriate sample frame is to get a list of elements of the target population that is inclusive but with minimal duplication.

Nonprobability sampling techniques do not involve the selection of sample elements by chance.

The representativeness of the _____ depends on the skill, insight, and experience of the researcher in choosing experts to sample.

Nonprobability sampling allows for the calculation of the sample error.

Two criteria are used in measuring the accuracy of a sample: the margin of error and the level of confidence.

A simple random sample allows each element of the population an equal and known chance of being selected.

A problem with quota sampling is that the sampling error cannot be calculated.

From a statistical point of view, probability sampling is not preferred because it does not allow for a calculation of the sampling error.

The most significant advantages of sampling include all of the following except

The statistical methods of establishing sample size apply only to nonprobability samples.

Reasons for choosing to stratify a population sample include all of the following except

A cluster sampling is initiated by randomly selecting a digit, n, then selecting a sample element at every nth interval.

Sample bias is introduced into a sample when the

Two criteria are used in measuring the accuracy of a sample: the margin of error and the sample size.

The standard deviation of a sample is estimated to be 100 and the standard error has been calculated to be 5. What size of sample will the researcher need to ensure a 95.5% confidence interval (Z=2.00)?

Generally speaking, the sample size should be increased whenever the population exhibits high variability or whenever high levels of precision and confidence are required.

Non-sampling error can occur when all of the following occur except the

In terms of nonstatistical sample size determination, perhaps the most common method of selecting a sample size is

The more confident a researcher wants to be, the smaller the sample should be.

Introduction to Marketing Research

Ethics in Marketing Research

Secondary Data

Research Designs: Exploratory and Qualitative Research

Research Designs: Descriptive and Causal Research

Measurement

Primary Data Collection

Designing the Data-Gathering Instrument

Fielding the Data-Gathering Instrument

Analyzing and Interpreting Data for Decisions

Advanced Data Analysis

The Research Report

Filters

Exam 9: Sampling Methods and Sample Size

Probability sampling introduces certain biases, from an operational perspective, but offers the advantages of being less expensive and quicker to implement.

The goal of developing an appropriate sample frame is to get a list of elements of the target population that is inclusive but with minimal duplication.

Nonprobability sampling techniques do not involve the selection of sample elements by chance.

The representativeness of the _____ depends on the skill, insight, and experience of the researcher in choosing experts to sample.

Nonprobability sampling allows for the calculation of the sample error.

Two criteria are used in measuring the accuracy of a sample: the margin of error and the level of confidence.

A simple random sample allows each element of the population an equal and known chance of being selected.

A problem with quota sampling is that the sampling error cannot be calculated.

From a statistical point of view, probability sampling is not preferred because it does not allow for a calculation of the sampling error.

The most significant advantages of sampling include all of the following except

The statistical methods of establishing sample size apply only to nonprobability samples.

Reasons for choosing to stratify a population sample include all of the following except

A cluster sampling is initiated by randomly selecting a digit, n, then selecting a sample element at every nth interval.

Sample bias is introduced into a sample when the

Two criteria are used in measuring the accuracy of a sample: the margin of error and the sample size.

The standard deviation of a sample is estimated to be 100 and the standard error has been calculated to be 5. What size of sample will the researcher need to ensure a 95.5% confidence interval (Z=2.00)?

Generally speaking, the sample size should be increased whenever the population exhibits high variability or whenever high levels of precision and confidence are required.

Non-sampling error can occur when all of the following occur except the

In terms of nonstatistical sample size determination, perhaps the most common method of selecting a sample size is

The more confident a researcher wants to be, the smaller the sample should be.

Introduction to Marketing Research

Ethics in Marketing Research

Secondary Data

Research Designs: Exploratory and Qualitative Research

Research Designs: Descriptive and Causal Research

Measurement

Primary Data Collection

Designing the Data-Gathering Instrument

Fielding the Data-Gathering Instrument

Analyzing and Interpreting Data for Decisions

Advanced Data Analysis

The Research Report

Filters