CA Foundation Exam June 2023 » CA MCQs » Sampling Methods

Sampling Methods

MCQs on "Sampling Methods ": Find the multiple choice questions on "Sampling Methods", frequently asked for all competitive examinations.

Table of Content

A technique of choosing a subset of an individual member for the entire population in a way to derive statistical inferences. This helps to determine the characters of the whole population. This is sampling. Sampling is categorized into two types known to be random and non-random sampling.

Here are a few MCQs on sampling methods that will help you clear your information on sampling methods and revise your concepts.

Choose the correct option regarding the sampling method?
1. the sample is the population’s part
2. it helps in determining sampling error
3. sampling saves money, time, and energy
4. all these options are correct

Answer: (D) all of these are correct

2. What do we say to all units aggregate that’s about a study?

1. sample
2. unit
3. universe or population
4. frame

Answer: (C) universe or population

3. What do you understand by sampling cases?

1. sampling of newspapers, people, television programs, etc.
2. the researcher’s briefcase
3. by using sampling frame for sampling
4. identifying and finding the people who are suitable for the research

Answer: (A) sampling of newspapers, people, television programs, etc.

4. One of the members of the population is known as the

1. data
2. family
3. element
4. group

Answer: (C) element

5. What refers to elements from where you choose the samples for the research?

1. infinite population
2. finite population
3. sampling population
4. target population

Answer: (D) target population

6. If we have to sample the population, it’s partitioned into units. Those are known to be as?

1. sampling units
2. sampling gap
3. sampling frame
4. sampling error

Answer: (A) sampling units

7. What do we call the population value?

1. statistic
2. parameter
3. data
4. variable

Answer: (B) parameter

8. Which of these are the steps in the sampling process_____?

1. choosing the sampling frame
2. defining the target population
3. identifying and selecting the method of sample
4. all of these

Answer: (D) all of these

9. What do we call sample value?

1. variable
2. parameter
3. data
4. statistic

Answer: (D) statistic

10. What do you understand by probability sampling?

1. univariate analysis
2. bi-variate analysis
3. multiple choices
4. random sampling

Answer: (A) uni-variate analysis

11. What do we call a complete and proper survey of a population?

1. report
2. census
3. sample
4. none of these

Answer: (B) census

12. Out of these, which is not a probability sampling?

1. cluster sampling
2. stratified sampling
3. quota sampling
4. simple random sampling

Answer: (C) quota sampling

13. We call judgemental sampling?

1. extensive sampling
2. convenience sampling
3. cluster sampling
4. purposive sampling

Answer: (D) purposive sampling

14. Out of the mentioned options, which is not a non-probability sampling?

1. judgemental sampling
2. Cluster sampling
3. Extensive sampling
4. Convenience sampling

Answer: (B) cluster sampling

15. What do we say to that sampling that’s for a non-zero selection chance?

1. probability sampling
2. quota sampling
3. extensive sampling
4. non-probability sampling

Answer: (A) probability sampling

16. When the available population is _____, we use a stratified sample.

1. too small
2. very large
3. homogeneous
4. heterogeneous

Answer: (D) heterogeneous

17. Out of the given options, which will need the biggest sample size?

1. systematic sampling
2. proportional stratified sampling
3. cluster sampling
4. simple random sampling

Answer: (C) cluster sampling

18. We use non-probability sampling with the aim of__.

1. pilot studies
2. qualitative research
3. exploratory research
4. all the mentioned options

Answer: (D) all the mentioned options

19. Which of these is an example of probability sampling?

1. lottery method
2. quota sampling
3. purposive sampling
4. judgemental sampling

Answer: (A) lottery method

20. The error of sampling is found only in

1. quota survey
2. any survey
3. census survey
4. sample survey

Answer: (D) sample survey

21. The association of phenomenology is with the process of____.

1. analysis of variance
2. qualitative research
3. all of these
4. none of these

Answer: (B) qualitative research

22. We find a non-sampling error in___

1. sample survey
2. census survey
3. none of the mentioned options
4. all of the mentioned option

Answer: (D) both of the mentioned options

23. Out of these strata, which of the sample population is separated into various strata, and the sample of one is taken from some other strata?

1. snowball sampling
2. census sampling
3. quota sampling
4. stratified sampling

Answer: (D) stratified sampling

24. One of the most useful samplings is random sampling due to the?

1. the nature is economically
2. this is a more accurate method reasonably in comparison to others
3. it’s free from investigators’ personal biases
4. all of the mentioned options

Answer: (D) all of the mentioned options

25. There are several advantages of sampling because__.’

1. sampling saves energy, money, and time in the collection of data
2. sampling help in lessening the data volume
3. help in getting higher accuracy if there is a homogeneous population
4. all the above-mentioned options

Answer: (D) all the above-mentioned options

26. For sampling, one uses ____ techniques?

1. flat-top sampling
2. natural sampling
3. instantaneous sampling
4. all the mentioned options

Answer: (D) all the mentioned options

27. Out of these, which needs the small size sample to see its efficiency?

1. quota sampling
2. cluster sampling
3. simple random sampling
4. none of these

Answer: (C) simple random sampling

28. With the increase in sample size, the error also____

1. decreases
2. increases
3. remains same
4. all of the above

Answer: (A) decreases

29. When we do sampling in qualitative research, is it similar to the sampling in quantitative research?

1. purposive sampling
2. probability sampling
3. all of these
4. none of these

Answer: (A) purposive sampling

30. The sampling that is based on probability, that is equal, is known as___

1. stratified sampling
2. simple random sampling
3. probability sampling
4. quota sampling

Answer: (B) simple random sampling

31. snowball sampling comes under the category of ___.

1. random sampling
2. probability sampling
3. quota sampling
4. nonprobability sampling

Answer: (D) nonprobability sampling

32. A teacher conducts an ethnographic probe for the issues that were being faced by the tribe members and the tribal students. The sampling method used here will be?

1. cluster sampling
2. systematic sampling
3. all of the above-mentioned options
4. none of these mentioned options

Answer: (A) cluster sampling

33. the method of drawing a _____ is the fishbowl drawing.

1. structural sample
2. independent sample
3. random sample
4. non-random sample

Answer: (C) random sample

34. A survey was done among the friends, class, and neighbors to know their preference for a particular brand of cold drink. This is an example of_______.

1. judgment sampling
2. cluster sampling
3. convenience sampling
4. stratified sampling

Answer: (C) convenience sampling

35. out of the mentioned procedures of sampling, mention the one that’s appropriate for making research with the empirical- inductive paradigm?

1. any non-probability sampling procedures
2. systematic sampling procedures
3. all of these mentioned procedures
4. none of these mentioned procedures

Answer: (A) any non-probability sampling procedures

36. snowball sampling is a method of choosing a sample using____.

1. computer programs
2. groups
3. snowballs
4. networks

Answer: (D) networks

37. Out of these mentioned sampling methods, name the one that’s a probability method?

1. assignment
2. judgment
3. quota
4. simple random

Answer: (D) simple random

38. Out of the mentioned, which is not a type of non-probability sampling?

1. quota
2. stratified random sampling
3. none of the above-mentioned options
4. all of the these mentioned options

Answer: (D) stratified random sampling

39. Sample is known to be the subset of?

1. population
2. data
3. set
4. information

Answer: (A) population

40. Out of these, which of the sampling is based on equal probability?

1. none sampling
2. stratified sampling
3. information
4. simple random sampling

Answer: (D) simple random sampling

41. What do we call the difference between the parameter value that is being estimated and the expected value of that statistic?

1. sampling error
2. non-sampling error
3. standard error
4. bias

Answer: (D) bias

42. The increase in the size of the sample affects sample error by___.

1. reducing the sampling error
2. increasing the error of sample
3. all of these options are correct
4. none of these are true

Answer: (A) reducing the sampling error

43. What do we call the difference between the parameter and the statistic?

1. probability
2. non-random
3. random
4. sampling error

Answer: (D) sampling error

44. The probability of selecting an item in probability sampling from the population is known and is:

1. non zero
2. equal to 3
3. equal to 1
4. none of these

Answer: (A) non zero

45. The distribution that is formed by all possible values of a statistics is known as:

1. normal distribution
2. hypergeometric distribution
3. binomial distribution
4. sampling distribution

Answer: (D) sampling distribution

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