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Explain how a student can differentiate between an example of cluster sampling and stratified sampling. You...

Explain how a student can differentiate between an example of cluster sampling and stratified sampling. You might want to give an example of each. These are the 2 most confused techniques of sampling.

Math   Statistics-And-Probability   
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In clustered sampling, the sample is divided into different clusters, then some clusters are selected and all the members in those particular cluster are sampled.

In stratified sampling, the population is divided into different strata and samples are taken proportionally from each of the strata.

Example: Consider a population of school children. The children are divided into different clusters based on which grade they are in. Then 2 grades, say grade 2 and 3, are selected and all students in those grades are taken as sample, this is cluster sampling.

In the same example, instead of choosing any 2 particular grades, 5% of students from each and every grade is selected as sample, to form a stratified sample.

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