# MCQs on sampling in research methodology with answers

MCQs on Sampling in Research Methodology: Answers are given along with the multiple-choice questions.

Sampling: In simple terms, a sample is a part of a thing (generally known as population) and it has the ability to display the qualities and features of the thing, of which it is a part. Whereas Sampling is the process of selecting samples from the entire population.

## 19 MCQs on sampling in research methodology

Answers of the following MCQs are marked as bold.

1. Sample is a representative unit of the population. Is this statement true or false?

True

False

2. In ______________________ every unit falling after a chosen gap of units is included in the sample.

Interval sampling

Simple random sampling

Purposive sampling

Cluster sampling

3. Division of the entire population into different groups and then selection of sample on the basis of proportion of each group in the entire population is called as ___________________.

Stratified sampling

Sequential sampling

Cluster sampling

Quota sampling

4. For the study of any population, sampling is conducted because it is __________________.

Expensive

Difficult

time-efficient

Biased

5. A researcher divides a heterogeneous population into homogeneous groups, and then draws samples from each group. Which sampling technique is the researcher using?

Cluster sampling

Stratified sampling

Non-probability sampling

Quota sampling

6 What is a sample called if it represents one or few characteristics of the population more than the others?

Good sample

Biased sample

Ineffective sample

7 What are the various classifications of sampling?

Random and purposive

Stratified and cluster

Probability and non-probability

Multi-stage and sequential

8 Simple random sampling cannot be used in ___________________.

Large population

Homogeneous population

Heterogeneous population

Legal research

9 In ____________________, all the units of the universe have an equal chance of being included in the sample.

Non-probability sampling

Probability sampling

Judgment sampling

Interval sampling

10 What is Tippet’s Table used for?

Convenience sampling

To reduce sampling errors

Interval sampling

Simple random sampling

11 Research can never be without any non-sampling errors, but sampling errors can always be avoided.

Is the above statement true or false?

True

False

12 Why are sampling traits important in sampling?

They help us in deciding the sample size.

They help us to differentiate between useless units and useful units.

They form the basis of the research questions.

They are the deciding factor in the inclusion of a unit in the sample.

13 Characteristics to be studied and the size of the population have no effect on selecting a sampling technique. Is this statement true or false?

True

False

14 Sampling can only be effectively conducted in a homogeneous population which is finite and not in an infinite universe with heterogeneous population.

Is the above statement true or false?

True

False

15 There are least chances of sampling error in a heterogeneous population. Is this statement true or false?

True

False

16 Studying a sample is a cost-effective method of studying a population. Is this statement true or false?

True

False

17 It is not necessary for a sample to show the same characteristics as the population. Is this statement true or false?

True

False

18 Selection of a sampling unit from a population should be dependent upon the inclusion of another sampling unit. Is this statement true or false?

True

False

19 Population is called as ___________ where the members are identical to one another.

Universe

Heterogeneous population

Homogeneous population

Finite universe

## Important Terms associated with Sampling are as:

• Sample
• Sampling Units
• Sampling Trait
• Target Population
• Sample Size
• Biased Sample
• Sampling and Non-sampling Error