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Sampling Techniques

Total questions: 17

Worksheet time: 2mins

Name
Class
Date
1.

It means choosing from a large population the respondents or subjects to answer your research questions. The entire population is involved but for your research study, you choose only a part of the whole.

a)

Sampling Unit

b)

Sampling

c)

Population

d)

Sampling Frame

2.

It is a technical term in research which means a big group of people from where you choose the sample or the chosen set of people to represent the population.

a)

Sampling Unit

b)

Sampling

c)

Population

d)

Sampling Frame

3.

It is the list of the members of the population to which you want to generalize or apply your findings about the sample.

a)

Sampling

b)

Population

c)

Sampling Unit

d)

Sampling Frame

4.

It is the term referring to every individual in the population.

a)

Sampling

b)

Population

c)

Sampling Unit

d)

Sampling Frame

5.

What are the factors that affects the sample selection?

a)

Sample Size

b)

Sampling Technique

c)

Heterogeneity of Population

d)

Statistical Techniques

e)

Time and Cost

6.

What are the sampling methods under probability sampling?

a)

Simple Random

b)

Systematic

c)

Stratified

d)

Cluster

7.

What are the sampling methods under non-probability sampling?

a)

Quota

b)

Voluntary

c)

Purposive

d)

Availability

e)

Snowball

8.

TYPES OF PROBABILITY SAMPLING METHODS:

Using a pure chance selection, you assure every member the same opportunity to be in the sample.

a)

Systematic Sampling

b)

Cluster Sampling

c)

Simple Random Sampling

d)

Stratified Sampling

9.

TYPES OF PROBABILITY SAMPLING METHODS:

For this sampling method, chance and systems are the ones to determine who should compose your sample.

a)

Systematic Sampling

b)

Cluster Sampling

c)

Simple Random Sampling

d)

Stratified Sampling

10.

TYPES OF PROBABILITY SAMPLING METHODS:

The group consisting the sample is chosen in a way that such group is liable to subdivision during the data analysis stage.

a)

Simple Random Sampling

b)

Systematic Sampling

c)

Stratified Sampling

d)

Cluster Sampling

11.

TYPES OF PROBABILITY SAMPLING METHODS:

This is a sampling that makes you isolate a set of persons instead of individuals members to serve as sample members.

a)

Simple Random Sampling

b)

Systematic Sampling

c)

Stratified Sampling

d)

Cluster Sampling

12.

TYPES OF NON-PROBABILITY SAMPLING METHODS:

In this case, you tend to choose sample members possessing or indicating the characteristics of the target population.

a)

Voluntary Sampling

b)

Quota Sampling

c)

Purposive/Judgemental Sampling

d)

Availability Sampling

e)

Snowball Sampling

13.

TYPES OF NON-PROBABILITY SAMPLING METHODS:

Since the subject you expect to participate in the sample are the ones volunteering to constitute the sample, there is no need for you to do any selection process.

a)

Voluntary Sampling

b)

Quota Sampling

c)

Purposive/Judgemental Sampling

d)

Availability Sampling

e)

Snowball Sampling

14.

TYPES OF NON-PROBABILITY SAMPLING METHODS:

You choose people whom you are sure that could correspond to the objectives of your study, like selecting those with rich experiences or interest.

a)

Voluntary Sampling

b)

Quota Sampling

c)

Availability Sampling

d)

Purposive/Judgemental Sampling

e)

Snowball Sampling

15.

TYPES OF NON-PROBABILITY SAMPLING METHODS:

The willingness of a person as your subject to interact with you counts a lot in this sampling method.

a)

Voluntary Sampling

b)

Quota Sampling

c)

Availability Sampling

d)

Purposive/Judgemental Sampling

e)

Snowball Sampling

16.

TYPES OF NON-PROBABILITY SAMPLING METHODS:

Free to obtain data from any group, you tend to increase the number of people you want to form the sample of your study.

a)

Voluntary Sampling

b)

Quota Sampling

c)

Purposive/Judgemental Sampling

d)

Snowball Sampling

e)

Availability Sampling

17.

What formula is used to calculate the sample size?

a)

Margin of Error Formula

b)

Convenience Sampling Formula

c)

Cochran's Sample Size Formula

d)

Slovin's Formula