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.

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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.
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