Stratified sampling and cluster sampling are two approaches used within probability sampling techniques. Explain using examples,...

Stratified sampling and cluster sampling are two approaches used within probability sampling techniques. Explain using examples, instances where stratified sampling would be preferred over cluster sampling, and vice versa.

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Examples where one method is used over the other:

* Stratified Sampling: suppose we conduct a national survey, we might divide the population into groups or strata based on the geography - east, west, north and south. Then with each stratum we might randomly select survey respondents

* Cluster Sampling: Men and women for the purpose of election votes

orchestra answered 1 year ago

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