Question 1 • Statistics and Probability
Cluster sampling divides a population into groups, often based on location, and randomly selects some of those groups. People in a selected cluster are typically included rather than randomly chosen individually, which can reduce travel, time, and cost when members live near one another. Thus, the true statement is that participants within clusters usually live in close proximity, saving time and money for data collection. Choice B describes a possible two-stage sampling method, not the usual definition of cluster sampling.
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