15 Questions

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Questions and Answers

- 1.
- A.
Denies you the use of probability theory

- B.
Requires you to have some prior knowledge about the elements in the population prior to drawing the sample

- C.
Usually increases the standard error

- D.
Usually requires samples that are larger in size than those required by simple random sampling

- E.
None of these choices is a disadvantage of stratified sampling

- 2.To ensure a sufficient number of cases from strata of varying sizes, researchers use:
- A.
Simple random sampling

- B.
Systematic sampling

- C.
Proportionate sampling

- D.
Disproportionate sampling

- E.
Quota sampling

- 3.Professor Hall was planning to do a field study of hitchhikers. Hall wanted to be sure that persons representing all different age, racial, and sex categories were included in the sample of hitchhikers. What kind of sampling scheme would you recommend?
- A.
Deviant cases

- B.
Quota sampling

- C.
Stratified sampling

- D.
Snowball sampling

- E.
Cluster sampling

- 4.A sampling interval of 5 was used to select a sample from a population of 1000. How many elements are to be in the sample?
- A.
5

- B.
50

- C.
100

- D.
200

- E.
1000

- 5.If a field researcher wanted to learn a political organization's pattern of recruitment over time, the researcher might begin by interviewing a fairly recent recruit and ask who introduced that person to the organization. Then the researcher might interview the person named and ask who introduced that person to the political organization. This would be an example of:
- A.
Snowball sampling

- B.
Systematic sampling

- C.
Deviant cases sampling

- D.
Accidental sampling

- E.
Quota sampling

- 6.You are doing research on hospital personnel—orderlies, technicians, nurses, and doctors. You want to be sure you draw a sample that has cases in each of the personnel categories. You want to use probability sampling. An appropriate strategy would be:
- A.
Simple random sampling

- B.
Quota sampling

- C.
Cluster sampling

- D.
Stratified sampling

- E.
Accidental sampling

- 7.Drawing a judgmental sample:
- A.
Allows researchers to use their prior knowledge about the population

- B.
Enlists the aid of uninformed respondents

- C.
Results in a sample that has no researcher bias

- D.
Ensures a representative sample

- E.
Requires the development of a quota matrix

- 8.Dr. Chang is conducting a research study of undergraduate students at her college. She wants to ensure an equal number of students from each grade level, so she uses the list of all students provided by the registrar’s office. From each list, she randomly selects 50 students from each group. What strategy of sampling is Dr. Chang using?
- A.
Simple random sampling

- B.
Quota sampling

- C.
Cluster sampling

- D.
Stratified sampling

- E.
Accidental sampling

- 9.The unit about which information is collected and that provides the basis of analysis is called a(n):
- A.
Universe

- B.
Sampling unit

- C.
Statistic

- D.
Sampling frame

- E.
Element

- 10.Tammy wants to do a telephone survey and she turns to you for help. Which of the following statements would mislead her?
- A.
Cell phone numbers are typically not included in phone surveys

- B.
People who use cell phones exclusively tend to be younger

- C.
There is a class bias in using telephone directory samples

- D.
Telephone directories are an excellent listing of a city’s population

- E.
None of these statements would mislead Tammy

- 11.Which of the following statements about informants is FALSE?
- A.
An informant is a member of the group that you want to study

- B.
You usually want to select informants who are somewhat typical of the group that you are studying

- C.
Informants are often marginal within their group

- D.
Informants are useful in field research

- E.
The terms informant and respondent are interchangeable

- 12.Statistical computations assume that you have done
- A.
Simple random sampling

- B.
Systematic sampling

- C.
Cluster sampling

- D.
Stratified sampling

- E.
Any one of these choices are assumed in statistical computations

- 13.In terms of probability theory, the standard error is valuable because:
- A.
It is an estimate of the parameter

- B.
It permits us to estimate the degree of error to be expected in a sample design

- C.
It indicates the extent to which the sample estimates will be distributed around the population parameter

- D.
It is an estimate of the parameter and it permits us to estimate the degree of error to be expected in a sample design

- E.
It permits us to estimate the degree of error to be expected in a sample design and it indicates the extent to which the sample estimates will be distributed around the population parameter

- 14.After taking a random start between 1 and 20 and then taking every 20th element from the sampling frame, Smith learned that 40% of the sample believed the company’s president was doing a good job. The calculated standard error was 3 percent. This means that:
- A.
Between 37% and 43% of the employees believe the president is doing a good job

- B.
You are 95% certain that between 37% and 43% of the employees believe the president is doing a good job

- C.
You are 68% certain that between 37% and 43% of the employees believe the president is doing a good job

- D.
You are 99% certain that between 37% and 43% of the employees believe the president is doing a good job

- E.
None of these choices are correct

- 15.Periodicity is particularly important in:
- A.
Simple random sampling

- B.
Availability sampling

- C.
Stratified sampling

- D.
Quota sampling

- E.
Systematic sampling