In cluster sampling, the population is divided into subsets called clusters (such as cities or city blocks), and then a random sample of the clusters is selected. Once the clusters are selected, we typically sample all of the members in each selected cluster.

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This is the basic idea of cluster sampling, where we sample all members within each selected cluster after randomly sampling the clusters.

In Cluster Sampling, the Population Is Divided into Subsets Called