File : Ch 07, Chapter 7 Test Bank
Numbers Of Questions : 85
True/False
1. Saving time and money are reasons to take a sample rather than do a census.
Ans: True
Response: See section 7.1 Sampling
Difficulty: Easy
Learning Objective: 7.1: Contrast sampling to census and differentiate among different methods
of sampling, which include simple, stratified, systematic, and cluster random sampling; and
convenience, judgment, quota, and snowball nonrandom sampling, by assessing the advantages
associated with each.
2. In some situations, sampling may be the only option because the population is inaccessible.
Ans: True
Response: See section 7.1 Sampling
Difficulty: Easy
Learning Objective: 7.1: Contrast sampling to census and differentiate among different methods
of sampling, which include simple, stratified, systematic, and cluster random sampling; and
convenience, judgment, quota, and snowball nonrandom sampling, by assessing the advantages
associated with each.
3. A population list, map, directory, or other source used to represent the population from which
a sample is taken is called the census.
Ans: False
Response: See section 7.1 Sampling
Difficulty: Medium
Learning Objective: 7.1: Contrast sampling to census and differentiate among different methods
of sampling, which include simple, stratified, systematic, and cluster random sampling; and
convenience, judgment, quota, and snowball nonrandom sampling, by assessing the advantages
associated with each.
4. In a random sampling technique, every unit of the population has a randomly varying chance
or probability of being included in the sample.
, Ans: False
Response: See section 7.1 Sampling
Difficulty: Medium
Learning Objective: 7.1: Contrast sampling to census and differentiate among different methods
of sampling, which include simple, stratified, systematic, and cluster random sampling; and
convenience, judgment, quota, and snowball nonrandom sampling, by assessing the advantages
associated with each.
5. Cluster (or area) sampling is a type of random sampling technique.
Ans: True
Response: See section 7.1 Sampling
Difficulty: Medium
Learning Objective: 7.1: Contrast sampling to census and differentiate among different methods
of sampling, which include simple, stratified, systematic, and cluster random sampling; and
convenience, judgment, quota, and snowball nonrandom sampling, by assessing the advantages
associated with each.
6. Systematic sampling is a type of nonrandom sampling technique.
Ans: False
Response: See section 7.1 Sampling
Difficulty: Medium
Learning Objective: 7.1: Contrast sampling to census and differentiate among different methods
of sampling, which include simple, stratified, systematic, and cluster random sampling; and
convenience, judgment, quota, and snowball nonrandom sampling, by assessing the advantages
associated with each.
7. A major limitation of nonrandom samples is that they are not appropriate for most statistical
methods.
Ans: True
Response: See section 7.1 Sampling
Difficulty: Medium
Learning Objective: 7.1: Contrast sampling to census and differentiate among different methods
of sampling, which include simple, stratified, systematic, and cluster random sampling; and
convenience, judgment, quota, and snowball nonrandom sampling, by assessing the advantages
associated with each.
,8. The directory or map from which a sample is taken is called the frame.
Ans: True
Response: See section 7.1 Sampling
Difficulty: Medium
Learning Objective: 7.1: Contrast sampling to census and differentiate among different methods
of sampling, which include simple, stratified, systematic, and cluster random sampling; and
convenience, judgment, quota, and snowball nonrandom sampling, by assessing the advantages
associated with each.
9. The two major categories of sampling methods are proportionate and disproportionate
sampling.
Ans: False
Response: See section 7.1 Sampling
Difficulty: Easy
Learning Objective: 7.1: Contrast sampling to census and differentiate among different methods
of sampling, which include simple, stratified, systematic, and cluster random sampling; and
convenience, judgment, quota, and snowball nonrandom sampling, by assessing the advantages
associated with each.
10. If every unit of the population has the same probability of being selected to the sample, then
the researcher is probably conducting random sampling.
Ans: True
Response: See section 7.1 Sampling
Difficulty: Medium
Learning Objective: 7.1: Contrast sampling to census and differentiate among different methods
of sampling, which include simple, stratified, systematic, and cluster random sampling; and
convenience, judgment, quota, and snowball nonrandom sampling, by assessing the advantages
associated with each.
11. With cluster sampling, there is homogeneity within a subgroup or stratum.
Ans: False
Response: See section 7.1 Sampling
Difficulty: Medium
, Learning Objective: 7.1: Contrast sampling to census and differentiate among different methods
of sampling, which include simple, stratified, systematic, and cluster random sampling; and
convenience, judgment, quota, and snowball nonrandom sampling, by assessing the advantages
associated with each.
12. If a researcher selects every kth item from a population of N items, then she is likely
conducting a stratified random sampling.
Ans: False
Response: See section 7.1 Sampling
Difficulty: Medium
Learning Objective: 7.1: Contrast sampling to census and differentiate among different methods
of sampling, which include simple, stratified, systematic, and cluster random sampling; and
convenience, judgment, quota, and snowball nonrandom sampling, by assessing the advantages
associated with each.
13. If every unit of the population has the same probability of being selected to the sample, then
the researcher is conducting random sampling.
Ans: True
Response: See section 7.1 Sampling
Difficulty: Medium
Learning Objective: 7.1: Contrast sampling to census and differentiate among different methods
of sampling, which include simple, stratified, systematic, and cluster random sampling; and
convenience, judgment, quota, and snowball nonrandom sampling, by assessing the advantages
associated with each.
14. A nonrandom sampling technique that is similar to stratified random sampling is called quota
sampling.
Ans: True
Response: See section 7.1 Sampling
Difficulty: Easy
Learning Objective: 7.1: Contrast sampling to census and differentiate among different methods
of sampling, which include simple, stratified, systematic, and cluster random sampling; and
convenience, judgment, quota, and snowball nonrandom sampling, by assessing the advantages
associated with each.
Numbers Of Questions : 85
True/False
1. Saving time and money are reasons to take a sample rather than do a census.
Ans: True
Response: See section 7.1 Sampling
Difficulty: Easy
Learning Objective: 7.1: Contrast sampling to census and differentiate among different methods
of sampling, which include simple, stratified, systematic, and cluster random sampling; and
convenience, judgment, quota, and snowball nonrandom sampling, by assessing the advantages
associated with each.
2. In some situations, sampling may be the only option because the population is inaccessible.
Ans: True
Response: See section 7.1 Sampling
Difficulty: Easy
Learning Objective: 7.1: Contrast sampling to census and differentiate among different methods
of sampling, which include simple, stratified, systematic, and cluster random sampling; and
convenience, judgment, quota, and snowball nonrandom sampling, by assessing the advantages
associated with each.
3. A population list, map, directory, or other source used to represent the population from which
a sample is taken is called the census.
Ans: False
Response: See section 7.1 Sampling
Difficulty: Medium
Learning Objective: 7.1: Contrast sampling to census and differentiate among different methods
of sampling, which include simple, stratified, systematic, and cluster random sampling; and
convenience, judgment, quota, and snowball nonrandom sampling, by assessing the advantages
associated with each.
4. In a random sampling technique, every unit of the population has a randomly varying chance
or probability of being included in the sample.
, Ans: False
Response: See section 7.1 Sampling
Difficulty: Medium
Learning Objective: 7.1: Contrast sampling to census and differentiate among different methods
of sampling, which include simple, stratified, systematic, and cluster random sampling; and
convenience, judgment, quota, and snowball nonrandom sampling, by assessing the advantages
associated with each.
5. Cluster (or area) sampling is a type of random sampling technique.
Ans: True
Response: See section 7.1 Sampling
Difficulty: Medium
Learning Objective: 7.1: Contrast sampling to census and differentiate among different methods
of sampling, which include simple, stratified, systematic, and cluster random sampling; and
convenience, judgment, quota, and snowball nonrandom sampling, by assessing the advantages
associated with each.
6. Systematic sampling is a type of nonrandom sampling technique.
Ans: False
Response: See section 7.1 Sampling
Difficulty: Medium
Learning Objective: 7.1: Contrast sampling to census and differentiate among different methods
of sampling, which include simple, stratified, systematic, and cluster random sampling; and
convenience, judgment, quota, and snowball nonrandom sampling, by assessing the advantages
associated with each.
7. A major limitation of nonrandom samples is that they are not appropriate for most statistical
methods.
Ans: True
Response: See section 7.1 Sampling
Difficulty: Medium
Learning Objective: 7.1: Contrast sampling to census and differentiate among different methods
of sampling, which include simple, stratified, systematic, and cluster random sampling; and
convenience, judgment, quota, and snowball nonrandom sampling, by assessing the advantages
associated with each.
,8. The directory or map from which a sample is taken is called the frame.
Ans: True
Response: See section 7.1 Sampling
Difficulty: Medium
Learning Objective: 7.1: Contrast sampling to census and differentiate among different methods
of sampling, which include simple, stratified, systematic, and cluster random sampling; and
convenience, judgment, quota, and snowball nonrandom sampling, by assessing the advantages
associated with each.
9. The two major categories of sampling methods are proportionate and disproportionate
sampling.
Ans: False
Response: See section 7.1 Sampling
Difficulty: Easy
Learning Objective: 7.1: Contrast sampling to census and differentiate among different methods
of sampling, which include simple, stratified, systematic, and cluster random sampling; and
convenience, judgment, quota, and snowball nonrandom sampling, by assessing the advantages
associated with each.
10. If every unit of the population has the same probability of being selected to the sample, then
the researcher is probably conducting random sampling.
Ans: True
Response: See section 7.1 Sampling
Difficulty: Medium
Learning Objective: 7.1: Contrast sampling to census and differentiate among different methods
of sampling, which include simple, stratified, systematic, and cluster random sampling; and
convenience, judgment, quota, and snowball nonrandom sampling, by assessing the advantages
associated with each.
11. With cluster sampling, there is homogeneity within a subgroup or stratum.
Ans: False
Response: See section 7.1 Sampling
Difficulty: Medium
, Learning Objective: 7.1: Contrast sampling to census and differentiate among different methods
of sampling, which include simple, stratified, systematic, and cluster random sampling; and
convenience, judgment, quota, and snowball nonrandom sampling, by assessing the advantages
associated with each.
12. If a researcher selects every kth item from a population of N items, then she is likely
conducting a stratified random sampling.
Ans: False
Response: See section 7.1 Sampling
Difficulty: Medium
Learning Objective: 7.1: Contrast sampling to census and differentiate among different methods
of sampling, which include simple, stratified, systematic, and cluster random sampling; and
convenience, judgment, quota, and snowball nonrandom sampling, by assessing the advantages
associated with each.
13. If every unit of the population has the same probability of being selected to the sample, then
the researcher is conducting random sampling.
Ans: True
Response: See section 7.1 Sampling
Difficulty: Medium
Learning Objective: 7.1: Contrast sampling to census and differentiate among different methods
of sampling, which include simple, stratified, systematic, and cluster random sampling; and
convenience, judgment, quota, and snowball nonrandom sampling, by assessing the advantages
associated with each.
14. A nonrandom sampling technique that is similar to stratified random sampling is called quota
sampling.
Ans: True
Response: See section 7.1 Sampling
Difficulty: Easy
Learning Objective: 7.1: Contrast sampling to census and differentiate among different methods
of sampling, which include simple, stratified, systematic, and cluster random sampling; and
convenience, judgment, quota, and snowball nonrandom sampling, by assessing the advantages
associated with each.
