The Differences Between a Cluster Sample and a Stratified Sample

Multiple Choice

The differences between a cluster sample and a stratified sample are 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 the above.