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Question 1

totality of all the elements or persons for which the research is conduct.

Answer 1

POPULATION

Question 2

subset or representatives of the population which actually take part in the study.

Answer 2

SAMPLE

Question 3

The sampling techniques that involve random selection.

Answer 3

PROBABILITY SAMPLING

Question 4

The sampling techniques that do not involve random selection of data.

Answer 4

NON-PROBABILITY SAMPLING

Question 5

the most basic random sampling wherein each element in the population has an equal probability of being selected.

Answer 5

SIMPLE RANDOM SAMPLING

Question 6

This technique can be done by listing all the elements in the population and selecting every kth element in your population
list.

Answer 6

SYSTEMATIC RANDOM SAMPLING

Question 7

A random sampling wherein the population is divided into different strata or divisions.

Answer 7

STRATIFIED RANDOM SAMPLING

Question 8

A random sampling wherein population is divided into clusters or groups and the clusters are randomly selected.

Answer 8

CLUSTER SAMPLING

Question 9

A technique wherein the researcher gathers data from nearby sources of information exerting minimal effort.

Answer 9

CONVENIENCE SAMPLING

Question 10

A technique in which the samples have traits that are rare to find. Participants help find more participants.

Answer 10

SNOWBALL SAMPLING

Question 11

Researchers choose these individuals according to specific traits or qualities.

Answer 11

QUOTA SAMPLING

Question 12

A technique that the sample units are volunteers in studies wherein the measuring process is painful or troublesome to a respondent.

Answer 12

VOLUNTEER SAMPLING