Question

1. when is cluster sampling most useful?

a. when the population is small and easily accessible
b. when detailed information about every member of the population is available
c. when the population is large and spread out over a wide area
d. when every member of the population can be easily listed

Explanation:

Cluster sampling divides the population into clusters. When the population is large and spread out, it's more efficient to sample clusters rather than individual members. Options a, b, and d describe situations where other sampling methods (like simple random sampling) might be more appropriate.

Answer:

C. When the population is large and spread out over a wide area