Stratified random sampling is a method of selecting a sample in which
A) the sample is first divided into strata, and then random samples are taken from each stratum.
B) various strata are selected from the sample.
C) the population is first divided into strata, and then random samples are drawn from each stratum.
D) the population is first divided into various stratums and then random samples are drawn from each strata.

Question

Quizplus · Accepted Answer

Stratified random sampling involves dividing the population into strata or subgroups based on some characteristic, then randomly selecting a sample from each stratum. This method ensures that the sample is representative of the population in terms of the characteristic being used to create the strata. This is achieved by making sure that each stratum is proportionally represented in the sample based on its size in the population. Therefore, option C is the correct answer.

Stratified Random Sampling Is a Method of Selecting a Sample