When subgroups in a sample are represented in proportion to their membership in the population, the sample is called a(n)

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When subgroups in a sample are represented in proportion to their membership in the population, the sample is called a stratified random sample. In this type of sampling, the population is divided into homogenous strata, and then a random sample is drawn from each stratum according to its proportion in the population. This ensures that all subgroups are represented in the sample in proportion to their size in the population, which increases the representativeness and generalizability of the findings. Probability sampling refers to any sampling method that involves random selection, not necessarily stratification. Convenience sampling refers to selecting participants who are readily available or accessible, which can lead to biased samples. Adjusted random sample is not a recognized term in statistics or research methodology.

When Subgroups in a Sample Are Represented in Proportion to Their