Lottery method is the illustration of mcq

 Sampling MCQMCQ on Sampling TechniquesResearch Methodology Chapter wise MCQs for NTA NET Exam Part 2

In this Post You will MCQs relating to Population and Sampling which is very helpful for the students of B.Com, M.Com and NTA Net. Total 32 Questions are added and more questions will be added soon.

Research methodology Chapterwise MCQs are also available on our blog. Links are given below:

a) Sampling MCQs (32 Questions)

b) MCQ on Research Problem and Research Plan (18 Questions)

c) Collection of data MCQs (22 Questions)

d) MCQ on Research Report Writing (25 Questions)

e) Research Methodology MCQS Part 1 (35 Questions)

f) Research Methodology MCQS Part I1 (30 Questions)

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1. Which of the following is true about sampling?

a) Sample is a part of population.

b) Sampling saves time, money and energy.

c) Sampling helps in estimating sampling error.

d) All of the above.

2. ‘Sampling Cases’ means:

a) Sampling using a sampling frames

b) Identifying people who are suitable for research

c) Literally the researcher’s brief case

d) Sampling of people, newspapers, television programmes etc.

3. The aggregate of all the units pertaining to a study is called:

a) Population or universe

b) Unit

c) Sample

d) Frame

4. _________refers to those elements from which samples are specifically chosen or selected for research.

a) Finite population

b) Target population

c) Infinite population

d) Sampling population

5. A member of the population is called:

a) Element

b) Data

c) Family

d) Group

6. The population to be sampled is divided into units which are known as:

a) Sampling frame

b) Sampling error

c) Sampling gap

d) Sampling units

7. Which of the following are steps in sampling process?

a) Defining target population

b) Selecting and identifying the sample method

c) Choosing sampling frame

d) All of the above

8. Population value is called:

a) Parameter

b) Statistic

c) Variable

d) Data

9. Sample value is called:

a) Parameter

b) Statistic

c) Variable

d) Data

10. A complete survey of population is called:

a) Census

b) Sample

c) Report

d) None of the above

11. Probability sampling is also known as:

a) Bi-variate Analysis

b) Uni-variate Analysis

c) Random Sampling

d) Multiple choices

12. Which of the following is not a probability sampling?

a) Simple random sampling

b) Quota sampling

c) Stratified Sampling

d) Cluster sampling

13. Which of the following is not a non-probability sampling?

a) Judgmental sampling

b) Convenience sampling

c) Extensive sampling

d) Cluster sampling

14. Judgmental sampling is also known as:

a) Purposive sampling

b) Convenience sampling

c) Extensive sampling

d) Cluster sampling

15. Sampling which provides for a known non-zero chance of selection is:

a) Probability sampling

b) Non probability sampling

c) Quota sampling

d) Extensive sampling

16. Stratified sample is used when the population is:

a) Homogenous

b) Heterogeneous

c) Very large

d) Too Small

17. Non-probability sampling is used with the aim of:

a) Qualitative research

b) Pilot studies

c) Exploratory research

d) All of the above

18. Which of the following would generally require the largest sample size?

a) Cluster sampling

b) Simple random sampling

c) Systematic sampling

d) Proportional stratified sampling

19. An example of probability sampling is:

a) Quota Sampling

b) Judgmental Sampling

c) Purposive sampling

d) Lottery method

20. The term ‘phenomenology’ is associated with the process of

a) Qualitative Research

b) Analysis of Variance

c) Correlational Study

d) Probability Sampling

21.  Sampling error is present only in:

a) Census survey

b) Sample survey

c) Both of the above

d) None of the above

21.  Non-Sampling error is present in:

a) Census survey

b) Sample survey

c) Both of the above

d) None of the above

22. In which sample population is divided into different strata and sample is taken from different strata?

a) Quota Sampling

b) Snow ball sampling

c) Stratified sampling

d) Purposive Sampling

23. In which sample the investigator has complete freedom to choose his sample according to his desire?

a) Quota Sampling

b) Snow ball sampling

c) Stratified sampling

d) Purposive or judgmental or selective Sampling

24. A technique of Building up a list or a sample of a special population by using an initial set of members as informants is called:

a) Quota sampling

b) Convenience Sampling

c) Snow ball Sampling

d) Purposive sampling

25. In cluster sampling, population is divided into clusters or groups which are __________ in nature.

a) Homogenous

b) Heterogeneous

c) Both a & b

d) None of the above

26. Sampling based upon equal probability is called:

a) Probability sampling

b) Quota sampling

c) Stratified sampling

d) Simple random sampling

27. Sampling in qualitative research is similar to which type of sampling in quantitative research?

a) Probability sampling

b) Quota sampling

c) Stratified sampling

d) Purposive sampling

28. As the sample size increases, the sampling error also:

a) Increases

d) Decreases

c) Constant

d) None of the above

29. Which of the following would usually require the smallest sample size because of its efficiency?

a) Cluster sampling

b) Simple random sampling

c) Quota sampling

d) Stratified sampling

30. The techniques used for sampling are:

a) Instantaneous sampling

b) Natural sampling

c) Flat top sampling

d) All of the above

31. Sampling is advantageous as it:

a) Helps in reducing the volume of data.

b) Saves time, money and energy in data collection.

c) Helps in achieving higher degree of accuracy if populations to be studied are homogenous in nature.

d) All of the above.

32. Random sampling is useful as it:

a) Reasonably more accurate as compared to other methods.

b) Economical in nature.

c) Free from personal biases of the investigator.

d) All of the above 

Which method is also known as lottery method?

Detailed Solution. A lottery method is an example of simple random sampling. Simple Random Sampling: Simple random sampling is defined as a sampling technique where every item in the population has an even chance and likelihood of being selected in the sample.

What is probability method of sampling Mcq?

Sampling is a process used in statistical analysis in which a predetermined number of observations are taken from a larger population. Key Points. Probability sampling is defined as a sampling technique in which the researcher chooses samples from a larger population using a method based on the theory of probability.

What is lottery method of sampling Class 11?

In the lottery method, each item is given a unique number and these numbers are noted down on slips of paper. These slips are then mixed in a bowl and drawn at random. Based on the drawn numbers, items are taken as samples. Thus, in this method each item has an equal chance being selected in the sample.

What is lottery sampling?

Lottery Method of Sampling A researcher randomly picks numbers, with each number corresponding to a subject or item, in order to create the sample. To create a sample this way, the researcher must ensure that the numbers are well mixed before selecting the sample population.