a Sampling Frame

b. Snowball Sampling

c. Simple Random Sampling

d. Availability Sampling

e Stratified Sampling

f. Purposive or Judgmental Sampling

g. Voluntary Sampling

h. Cluster Sampling

i. Quota Sampling

j. Systematic

-1. Sampling for this kind of probability sampling, chance and system are the ones to determine who should compose the sample

-2 Using a specific set of persons whom you believe to have the characteristics of the target population involved in the study.

-3. This is a probability sampling that makes you isolate a set of persons instead of individual members to serve as sample members

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

_.5. You choose people whom you are sure could correspond to the objectives of your study, like selecting those with rich experience or interest in your study.

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

-7. The willingness of a person as your subject to interact with you counts a lot in this non-probability sampling method

8. It is the best type of probability sampling through which you can choose sample from a population using a pure- chance selection.

9. This sampling method does not give a specific set of samples. This is true for a study involving unspecified group of people

10. It is the term used to mean the list of the members of​