In cluster random sampling, the population is first divided up into mutually exclusive and collectively exhaustive groups, called clusters. A cluster sample includes randomly selected observations from each cluster, which are proportional to the cluster's size.

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In cluster random sampling, entire clusters are randomly selected, not individual observations from each cluster. The selection within clusters is not necessarily proportional to the cluster's size unless specifically designed that way.

In Cluster Random Sampling, the Population Is First Divided Up