The Differences Between a Cluster Sample and a Stratified Sample

question 59

Multiple Choice

The differences between a cluster sample and a stratified sample are that in a

• A)cluster sample,the parent population is divided into mutually exclusive and exhaustive subsets.
• B)stratified sample,the parent population is divided into mutually exclusive and exhaustive subsets.
• C)stratified sample,a simple random sample of elements is chosen independently from each group or subset,while in a cluster sample,a random sample of the subsets is selected.
• D)cluster sample,a simple random sample of elements is chosen independently from each group or subset,while in a stratified sample,a random sample of the subsets is selected.
• E)None of these are correct.

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