The difference between stratified and cluster random sampling is that:
A) in stratified random sampling, all members of a strata are sampled.
B) in stratified random sampling, all members of a cluster are sampled.
C) in cluster random sampling, all members of a cluster are sampled.
D) in cluster random sampling, all members of a strata are sampled.

Question

Quizplus · Accepted Answer

In cluster random sampling, entire clusters are selected randomly, and all members of those selected clusters are sampled. This is different from stratified sampling, where the population is divided into strata, and samples are drawn from each stratum, but not necessarily including every member of each stratum.

The Difference Between Stratified and Cluster Random Sampling Is That