A clustered sample involves selecting clusters or areas and then randomly sampling from those clusters.
A clustered sample considers that a simple random sample may not be feasible when the population is dispersed. It involves selecting clusters or areas and then randomly sampling from those clusters. For example, randomly selecting states, then counties, cities, and precincts within those for measurement.
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