1. The term “sampling unit” refers to the:
E. number of units accidentally left out of a sampling frame.
2. Spectrum Inc., an automobile manufacturer, is interested in measuring the customer
satisfaction of car owners. It decides to collect data from new purchasers of Spectrum cars. In
this scenario, the new purchasers of Spectrum cars represent a(n) _____.
E. construct
3. 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) _____.
A. sampling plan
4. The difference between probability sampling and nonprobability sampling is that in
nonprobability sampling:
A. each sampling unit in a defined target population has a known probability of being selected
for the sample.
5. _____ sampling is a probability sampling procedure in which every sampling unit has a
known and equal chance of being selected.
A. Judgment
6. Which of the following is a probability sampling method?
A. Convenience sampling
7. Which of the following is true of simple random sampling?
E. It does not require the sampling units to be given any special code prior to drawing a sample
unlike systematic random sampling.
8. The difference between simple random sampling and systematic random sampling is that
systematic random sampling:
E. is based on intuitive judgment or researcher knowledge.
9. In a systematic sampling study, if the sampling frame has 2,000 names and the desired
sample size is 50, the skip interval should be:
A. 25.
10. In optimal allocation sampling, the necessary sample size of each stratum is determined
based:
E. on the number of heterogeneous strata identified in a defined target population.
11. Before polling the students in Scion School of Business, a researcher divides all the
current students into groups based on their class standing, such as freshman, sophomores, and
so on. Then, she randomly draws a sample of 50 students from each of these groups to create a
representative sample of the entire student body in the school. Which of the following sampling
methods is the researcher practicing?
E. Snowball sampling
12. The difference between stratified random sampling and cluster sampling is that in cluster
sampling:
A. a researcher must be able to secure a complete listing of the potential sampling units that
make up a defined target population.
13. Which of the following is true of cluster sampling?
A. Each cluster is assumed to be representative of the homogeneity of a target population.
14. Which of the following is true of convenience sampling?
E. It allows researchers to generalize the data collected to a defined target population.
15. A college professor wants to know if the university students in the Unites States will find
the new textbook that he has authored to be interesting and useful. He chooses all marketing
majors at the school he teaches as his sample. He believes that this group of students will be
representative of the university student population in the United States. In this scenario, the
professor is most likely using:
A. census sampling.
B. area sampling.
16. Sarah, a researcher, does not have the resources or time to use a probability sampling
method. However, she wants to make sure that all ethnicities are fairly represented in her
sample. In this scenario, Sarah is most likely to use _____.
E. optimal allocation sampling
17. Which method of sampling relies on the assumption that rare groups of people tend to
form their own unique social circles?
A. Judgment sampling
18. 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.
A. variance
19. Which of the following is true of probability sample sizes?
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.
20. If the estimated population standard deviation based on previous studies is 20 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:
A. 48.
21. If the estimated population proportion is 30 percent based on previous studies, 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:
E. 554.
22. 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:
E. 950.
23. For a given level of precision and confidence level, a researcher determines that he needs
a sample size of 400. The study found that the proportion of people who smoke is 30 percent. For
the same level of precision and confidence, he would need the same sample size if the proportion
of those who smoke were to change to:
A. 40 percent.