Explain the difference between a stratified sample and a cluster sample. (Select all that apply.)In a stratified sample, random samples from each strata are includedIn 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 includedIn a cluster sample, every sample of size n has an equal chance of being included.In a stratified sample, the only samples possible are those including every kth item from the random starting positionIn a cluster sample, the only samples possible are those including every kth item from the random starting positionIn 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, randomles from each strata are included.

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Asked Oct 28, 2019
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Explain the difference between a stratified sample and a cluster sample. (Select all that apply.)
In a stratified sample, random samples from each strata are 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, every sample of size n has an equal chance of being included.
In a stratified sample, the only samples possible are those including every kth item from the random starting position
In a cluster sample, the only samples possible are those including every kth item from the random starting position
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, random
les from each strata are included.
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Explain the difference between a stratified sample and a cluster sample. (Select all that apply.) In a stratified sample, random samples from each strata are 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, every sample of size n has an equal chance of being included. In a stratified sample, the only samples possible are those including every kth item from the random starting position In a cluster sample, the only samples possible are those including every kth item from the random starting position 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, random les from each strata are included.

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Cluster sampling is a sampling method in which the researcher divides the population into clusters, after which another simple random sample is selected to perform the data analysis. This sampling method helps in obtaining information f...

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