Cluster sampling is usually used to divide a target population along geographical boundaries.

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Cluster sampling involves dividing a target population into smaller subgroups (clusters) that are already geographically defined, and then selecting a random sample of clusters to be included in the study. This is typically used when it is difficult or expensive to access the entire population, but it is feasible to access a subset of clusters within the population.

Cluster Sampling Is Usually Used to Divide a Target Population