1. A …………………… is a subset of a statistical population whose characteristics are studied to know the information about the whole population.
A. Census
B. Sample
C. Survey
D. Parameter
2. It is the numerical characteristic of a population.
A. Parameter
B. Sample
C. Statistics
D. Representative
3. Of the following sampling methods, which is a probability method?
A. Judgment
B. Quota
C. Simple random
D. Convenience
4. Sample is regarded as a subset of?
A. Set
B. Data
C. Population
D. Distribution
5. A good sampling frame must be
A. Relevant
B. Complete
C. Precise
D. All of the above
6. A sample study is a study
A. Whole population
B. Only representative items
C. 51 items
D. None of these
7. When there is a significant difference between the statistic and parametric values, it means
A. Static value is used to approximate parameter
B. Sample statistic is representative is representative of the population parameter
C. The difference is real
D. None of the above
8. The process of selecting a number of participants for a study in such a way that they represent the larger group from which they were selected is known
A. Random assignment
B. Data collection
C. Research Design
D. Sampling
9. Which of the following are the advantages of census?
A. In a census each and every respondent of the population is considered and various population parameters are compiled for information.
B. The information obtained on the basis of census data is more reliable and accurate.
C. If we are conducting a survey for the first time we can have a census instead of sample survey
D. All of the above.
10. What are the essentials of a good sample?
A. A sample must represent a true picture of the population from which it is drawn
B. A sample must be unbiased by the sampling procedure.
C. A sample must be taken at random so that every member of the population of data has an equal chance of selection.
D. All of the above.
11. Which of the following is not a method of random sampling?
A. Quota Sampling
B. Simple Random
C. Sampling Systematic
D. Sampling Stratified Sampling
12. What are the limitations of a simple random sampling?
A. If the population size is large, a great deal of time must be spent listing and numbering the members of the population.
B. A simple random sample will not adequately represent many population characteristics unless the sample is very large
C. Both (a) and (b)
D. Neither (a) nor (b)
13. Which among the following is the benefit of using simple random sampling?
A. The results are always representative.
B. Interviewers can choose respondents freely.
C. Informants can refuse to participate.
D. We can calculate the accuracy of the results.
14. In …………………. sampling the sample units are selected from the population at equal intervals in terms of time, space or order.
A. Quota
B. Convenience
C. Systematic
D. Stratified
15. Which of the following is not likely to be used to stratify a sample for a study investigating the use of a computerized algebra program?
A. Number of siblings in the home
B. Gender
C. Ethnicity
D. Socio-economic status
16. Which of the following is the example of random sampling techniques?
A. Taking the name of every person in a telephone book
B. Taking every tenth or twentieth name from a list of everybody in the telephone book
C. Generating a list of numbers by picking numbers out of a hat and matching these numbers to names in the telephone book
D. All of the above
17. Mr. X of Quality Market Research tells placement student John to go out and select for personal interview ten men and ten women. Mr. X is using ……………. sampling for this phase of the research.
A. Random
B. Quota
C. Stratified
D. Area
18. In …………… sampling we divide the population into groups having heterogeneous characteristics called clusters and then select a sample of clusters using simple random sampling
A. Cluster
B. Stratified
C. Quota
D. Random
19. Which of the following are the advantages of multi stage sampling?
A. Multistage sampling provides cost gains by reducing the data collection on costs.
B. Multistage sampling is more flexible and allows us to use different sampling procedures in different stages of sampling.
C. If the population is spread over a very wide geographical area, multistage sampling is the only sampling method available in a number of practical situations.
D. All of the above
20. Cluster sampling is based on the following principle
A. The differences or variability within a cluster should be as large as possible.
B. The variability between clusters should be as small as possible.
C. Neither (a) nor (b)
D. Both (a) and (b)