The Differences Between a Cluster Sample and a Stratified Sample

Multiple Choice

The differences between a cluster sample and a stratified sample are that in a

A) cluster sample,the parent population is divided into mutually exclusive and exhaustive subsets.
B) stratified sample,the parent population is divided into mutually exclusive and exhaustive subsets.
C) stratified sample,a simple random sample of elements is chosen independently from each group or subset,while in a cluster sample,a random sample of the subsets is selected.
D) cluster sample,a simple random sample of elements is chosen independently from each group or subset,while in a stratified sample,a random sample of the subsets is selected.
E) None of these are correct.