Question 1

The difference between stratified random sampling and cluster sampling is that in cluster sampling:

Accepted Answer

A)  a researcher must be able to secure a complete listing of the potential sampling units that make up a defined target population. 
B)  a large number of respondents are interviewed in a relatively short time. 
C)  the representativeness of a sample cannot be measured because sampling error estimates cannot be calculated. 
D)  the sampling units are divided into mutually exclusive and collectively exhaustive subpopulations. 
E)  a target population is separated into different groups. 
A)  a researcher must be able to secure a complete listing of the potential sampling units that make up a defined target population. 
B)  a large number of respondents are interviewed in a relatively short time. 
C)  the representativeness of a sample cannot be measured because sampling error estimates cannot be calculated. 
D)  the sampling units are divided into mutually exclusive and collectively exhaustive subpopulations. 
E)  a target population is separated into different groups. D

Question 2

If the estimate of expected population proportion having a desired characteristic based on intuition is 60 percent, the acceptable error is plus or minus 5 percent, and the z-value for a 95 percent level of confidence is 1.96, the needed sample size is approximately:

Accepted Answer

A)  187. 
B)  369. 
C)  295. 
D)  196. 
E)  950. 
A)  187. 
B)  369. 
C)  295. 
D)  196. 
E)  950. B

Question 3

Nonsampling errors reduce the overall quality of the data regardless of the data collection method.

Accepted Answer

A) True 
 B)False  True

Question 4

Which of the following is true of simple random sampling?

Accepted Answer

A)  It produces unbiased estimates of a target population's characteristics. 
B)  It eliminates the need to identify all sampling units. 
C)  It is less costly when compared to systematic random sampling because it can be done quickly. 
D)  It requires that a defined target population be ordered in some way, usually in the form of a customer list, taxpayer roll, or membership roster. 
E)  It does not require the sampling units to be given any special code prior to drawing a sample unlike systematic random sampling. 
A)  It produces unbiased estimates of a target population's characteristics. 
B)  It eliminates the need to identify all sampling units. 
C)  It is less costly when compared to systematic random sampling because it can be done quickly. 
D)  It requires that a defined target population be ordered in some way, usually in the form of a customer list, taxpayer roll, or membership roster. 
E)  It does not require the sampling units to be given any special code prior to drawing a sample unlike systematic random sampling.

Question 5

Area sampling is an example of a nonprobability sampling method.

Accepted Answer

A) True 
 B)False

Question 6

Distinguish between sampling error and nonsampling error.

Accepted Answer

Sampling error is any bias that results

Question 7

Since quota sampling is a nonprobability sampling method, the representativeness of the sample can be measured.

Accepted Answer

A) True 
 B)False

Question 8

Customer lists from credit card companies are a common source of sampling frames.

Accepted Answer

A) True 
 B)False

Question 9

Briefly discuss optimal allocation sampling and multisource sampling.

Accepted Answer

A type of disproportionate stratified me

Question 10

Which of the following is true of convenience sampling?

Accepted Answer

A)  It is a nonprobability sampling method. 
B)  It is a time-consuming process if there are a large number of respondents. 
C)  It is commonly used in the later stages of research. 
D)  It allows researchers to measure the representativeness of a sample. 
E)  It allows researchers to generalize the data collected to a defined target population. 
A)  It is a nonprobability sampling method. 
B)  It is a time-consuming process if there are a large number of respondents. 
C)  It is commonly used in the later stages of research. 
D)  It allows researchers to measure the representativeness of a sample. 
E)  It allows researchers to generalize the data collected to a defined target population.

Question 11

In the context of nonprobability sampling methods, judgment sampling is also known as purposive sampling.

Accepted Answer

A) True 
 B)False

Question 12

In cluster sampling, each cluster is assumed to be representative of the heterogeneity of a target population.

Accepted Answer

A) True 
 B)False

Question 13

Which of the following is a probability sampling method?

Accepted Answer

A)  Convenience sampling 
B)  Cluster sampling 
C)  Snowball sampling 
D)  Quota sampling 
E)  Judgment sampling 
A)  Convenience sampling 
B)  Cluster sampling 
C)  Snowball sampling 
D)  Quota sampling 
E)  Judgment sampling

Question 14

In any sampling plan, the first task of a researcher is to choose a method of data collection.

Accepted Answer

A) True 
 B)False

Question 15

_____ sampling is a probability sampling procedure in which every sampling unit has a known and equal chance of being selected.

Accepted Answer

A)  Judgment 
B)  Quota 
C)  Cluster 
D)  Simple random 
E)  Convenience 
A)  Judgment 
B)  Quota 
C)  Cluster 
D)  Simple random 
E)  Convenience

Question 16

Which of the following is true of cluster sampling?

Accepted Answer

A)  Each cluster is assumed to be representative of the homogeneity of a target population. 
B)  The prospective sampling units are selected for a sample using systematic random sampling. 
C)  Area sampling is a popular form of cluster sampling. 
D)  In practice, cluster sampling is difficult to implement. 
E)  Cluster sampling requires a substantially large budget. 
A)  Each cluster is assumed to be representative of the homogeneity of a target population. 
B)  The prospective sampling units are selected for a sample using systematic random sampling. 
C)  Area sampling is a popular form of cluster sampling. 
D)  In practice, cluster sampling is difficult to implement. 
E)  Cluster sampling requires a substantially large budget.

Question 17

Jamie Nelson works for a telephone company. She is interested in determining the satisfaction of the customers with the service provided by the company (for landline customers only). She decides to collect data from the customers listed in the company's existing customer directory. In this scenario, the customer directory serves as a(n) _____.

Accepted Answer

A)  sampling plan 
B)  element chart 
C)  sampling frame 
D)  quota 
E)  census 
A)  sampling plan 
B)  element chart 
C)  sampling frame 
D)  quota 
E)  census

Question 18

A benefit associated with detecting sampling error is that it can be determined before a sample is drawn and data collection is completed.

Accepted Answer

A) True 
 B)False

Question 19

Which of the following is true of probability sample sizes?

Accepted Answer

A)  The more precise the required sample results, the larger the sample size. 
B)  The smaller the desired error, the smaller the sample size. 
C)  The shorter the variability in the data being estimated, the larger the sample size needed. 
D)  The higher the level of confidence desired, the smaller the sample size needed. 
E)  The population standard deviation is a measure of the dispersion of the population, and its square root is referred to as the population variance. 
A)  The more precise the required sample results, the larger the sample size. 
B)  The smaller the desired error, the smaller the sample size. 
C)  The shorter the variability in the data being estimated, the larger the sample size needed. 
D)  The higher the level of confidence desired, the smaller the sample size needed. 
E)  The population standard deviation is a measure of the dispersion of the population, and its square root is referred to as the population variance.

Question 20

In the context of the factors that play an important role in determining sample sizes with probability designs, _____ is the acceptable amount of error in a sample estimate.

Accepted Answer

A)  variance 
B)  validity 
C)  precision 
D)  incidence rate 
E)  reliability 
A)  variance 
B)  validity 
C)  precision 
D)  incidence rate 
E)  reliability

The difference between stratified random sampling and cluster sampling is that in cluster sampling:

If the estimate of expected population proportion having a desired characteristic based on intuition is 60 percent, the acceptable error is plus or minus 5 percent, and the z-value for a 95 percent level of confidence is 1.96, the needed sample size is approximately:

Nonsampling errors reduce the overall quality of the data regardless of the data collection method.

Which of the following is true of simple random sampling?

Area sampling is an example of a nonprobability sampling method.

Distinguish between sampling error and nonsampling error.

Since quota sampling is a nonprobability sampling method, the representativeness of the sample can be measured.

Customer lists from credit card companies are a common source of sampling frames.

Briefly discuss optimal allocation sampling and multisource sampling.

Which of the following is true of convenience sampling?

In the context of nonprobability sampling methods, judgment sampling is also known as purposive sampling.

In cluster sampling, each cluster is assumed to be representative of the heterogeneity of a target population.

Which of the following is a probability sampling method?

In any sampling plan, the first task of a researcher is to choose a method of data collection.

_____ sampling is a probability sampling procedure in which every sampling unit has a known and equal chance of being selected.

Which of the following is true of cluster sampling?

A benefit associated with detecting sampling error is that it can be determined before a sample is drawn and data collection is completed.

Which of the following is true of probability sample sizes?

In the context of the factors that play an important role in determining sample sizes with probability designs, _____ is the acceptable amount of error in a sample estimate.

Marketing Research for Managerial Decision Making

The Marketing Research Process and Proposais

Secondary Data, Literature Reviews, and Hypotheses

Exploratory and Observational Research Designs and Data Collection Approaches

Descriptive and Causal Research Designs

Measurement and Scaling

Designing the Questionnaire

Qualitative Data Analysis

Preparing Data for Quantitative Analysis

Basic Data Analysis for Quantitative Research

Examining Relationships in Quantitative Research

Communicating Marketing Research Findings

Filters

Exam 6: Sampling: Theory and Methods

The difference between stratified random sampling and cluster sampling is that in cluster sampling:

If the estimate of expected population proportion having a desired characteristic based on intuition is 60 percent, the acceptable error is plus or minus 5 percent, and the z-value for a 95 percent level of confidence is 1.96, the needed sample size is approximately:

Nonsampling errors reduce the overall quality of the data regardless of the data collection method.

Which of the following is true of simple random sampling?

Area sampling is an example of a nonprobability sampling method.

Distinguish between sampling error and nonsampling error.

Since quota sampling is a nonprobability sampling method, the representativeness of the sample can be measured.

Customer lists from credit card companies are a common source of sampling frames.

Briefly discuss optimal allocation sampling and multisource sampling.

Which of the following is true of convenience sampling?

In the context of nonprobability sampling methods, judgment sampling is also known as purposive sampling.

In cluster sampling, each cluster is assumed to be representative of the heterogeneity of a target population.

Which of the following is a probability sampling method?

In any sampling plan, the first task of a researcher is to choose a method of data collection.

_____ sampling is a probability sampling procedure in which every sampling unit has a known and equal chance of being selected.

Which of the following is true of cluster sampling?

A benefit associated with detecting sampling error is that it can be determined before a sample is drawn and data collection is completed.

Which of the following is true of probability sample sizes?

In the context of the factors that play an important role in determining sample sizes with probability designs, _____ is the acceptable amount of error in a sample estimate.

Marketing Research for Managerial Decision Making

The Marketing Research Process and Proposais

Secondary Data, Literature Reviews, and Hypotheses

Exploratory and Observational Research Designs and Data Collection Approaches

Descriptive and Causal Research Designs

Measurement and Scaling

Designing the Questionnaire

Qualitative Data Analysis

Preparing Data for Quantitative Analysis

Basic Data Analysis for Quantitative Research

Examining Relationships in Quantitative Research

Communicating Marketing Research Findings

Filters