Simple random sampling can result in under-representation or over-representation of certain segments of the population.This is one of several reasons that simple random samples are almost never used in real applications.

Question

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Simple random sampling, while theoretically unbiased, can lead to under-representation or over-representation of certain segments due to random chance, especially in smaller sample sizes, making it less practical for ensuring representative data in real-world applications.

Simple Random Sampling Can Result in Under-Representation or Over-Representation of Certain