A sampling method that separates the population into different subgroups, and then samples all of these subgroups, is called:
A) stratified sampling.
B) area sampling.
C) cluster sampling.
D) simple sampling.
E) comprehensive sampling.

Question

Quizplus · Accepted Answer

Stratified sampling is the correct answer because it involves dividing the population into groups or strata based on certain characteristics and then selecting a random sample from each stratum. This method ensures that each subgroup is represented in the sample proportionately to its size in the population, increasing the accuracy of the results. Cluster sampling involves randomly selecting groups, while area sampling is used when the population is spread out geographically. Simple sampling is a basic random sampling technique, and comprehensive sampling is not a recognized sampling method.

A Sampling Method That Separates the Population into Different Subgroups