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grayotter535Lv1

11 Dec 2019

# 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.

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 HettingerLv2

18 Feb 2020

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