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.

Expert Solution

Answer:

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 2 years ago

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. Remember to cite your source using current APA format, and post the url for your paper. Your original post should be no more than 250 words.

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