Cluster sampling is frequently used when lists of the sample population are not available.

Name: Cluster sampling is frequently used when lists of the sample population are not available.
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This statement is true. Cluster sampling involves dividing a population into smaller groups (clusters) and then randomly selecting clusters to include in the sample. It is useful when lists of the whole population are not available, such as in large geographic areas or in certain types of surveys.

Cluster Sampling Is Frequently Used When Lists of the Sample