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Stratified Sampling and Cluster Sampling are two approaches used within Probability Sampling Techniques. Explain using examples, instances...

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Basic Math

Stratified Sampling and Cluster Sampling are two approaches usedwithin Probability Sampling Techniques.

Explain using examples, instances where Stratified Samplingwould be preferred over Cluster Sampling, and vice versa.

Remember to cite your source using current APA format, and postthe url for your paper. Your original post should be no more than250 words.

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In stratified sampling technique the sample is created out of the random selection of elements from all the strata while in the cluster sampling all the units of the randomly selected clusters form a sample The differences between stratified and cluster sampling can be drawn clearly on the following grounds A probability sampling    See Answer
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