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

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Deanna Hettinger
Deanna HettingerLv2
18 Feb 2020
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