Cluster sampling is a useful sampling procedure for large populations that are geographically scattered.

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Cluster sampling involves dividing a large population into clusters or groups based on geography or other shared characteristics, and then randomly selecting a sample of those clusters to survey. This method is particularly useful when the population is spread out over a large area, as it can be more efficient and cost-effective than other sampling methods. Therefore, the statement is true.

Cluster Sampling Is a Useful Sampling Procedure for Large Populations