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