What is cluster sampling in data science?
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Answer / Yashwant Kumar
Cluster sampling is a type of probability sampling technique where the population is first divided into groups (or clusters), and then a random sample is selected from each group. This method can be useful when it is difficult or expensive to obtain a simple random sample of the entire population. Examples include stratified sampling and multistage sampling.
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