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 acquire information from all of the members in each selected cluster.

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In cluster sampling, the entire population is divided into clusters, and then a random sample of these clusters is selected. After selecting the clusters, data is collected from all members within each of the chosen clusters, making the explanation accurate.

In Cluster Sampling,the Population Is Divided into Subsets Called Clusters