Explain the difference between a stratified sample and a cluster sample. (Select all that apply.) In a cluster sample, every sample of size n has an equal chance of being included. In a stratified sample, every sample of size n has an equal chance of being included. In a stratified sample, the clusters to be included are selected at random and then all members of each selected cluster are included. In a cluster sample, random samples from each strata are included. In a cluster sample, the clusters to be included are selected at random and then all members of each selected cluster are included. In a cluster sample, the only samples possible are those including every kth item from the random starting position. In a stratified sample, random samples from each strata are included. In a stratified sample, the only samples possible are those including every kth item from the random starting position.

## Answer

The difference between a stratified and cluster sample is, In a stratified sample, random samples from each stratum are included. In a cluster sample, the clusters to be included are selected at random and then all members of each selected cluster are included Therefore, the correct option in stratified sample is option (7) and the correct option in cluster sample is option (5).