Disproportionate stratified sampling is used when the target population produces sample sizes for subgroups that differ from their relative importance to the study.

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Disproportionate stratified sampling is indeed used when the target population produces sample sizes for subgroups that differ from their relative importance to the study. This sampling method selects larger samples from subgroups that are critical to the research question or are expected to have higher variability, while reducing the sample size from less important subgroups. This approach ensures more precise estimates of population parameters, and it is beneficial when resources are limited, and researchers need to optimize their sampling strategy.

Disproportionate Stratified Sampling Is Used When the Target Population Produces