The difference between a cluster sample and a stratified random sample is:
A)cluster samples study all possible clusters; stratified random samples randomly select strata.
B)cluster samples use oversampling; stratified random samples use undersampling.
C)cluster samples use randomly selected clusters; stratified random samples use predetermined strata.
D)There is no difference between cluster samples and stratified random samples.

Question

Quizplus · Accepted Answer

Cluster samples randomly select clusters, while stratified random samples divide the population into predetermined strata and then randomly select samples from each stratum. Therefore, the main difference is that cluster sampling uses randomly selected clusters, whereas stratified random sampling uses predetermined strata.

The Difference Between a Cluster Sample and a Stratified Random