Which statement best describes the goal of representative sampling in epidemiology?

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Representative sampling aims to obtain a sample that reflects the target population so findings can be generalized to that population. In epidemiology, the usefulness of results depends on external validity—the ability to apply observed prevalence, risk factors, and associations beyond the people studied. Achieving representativeness means designing the selection so that each member of the population has a known chance of inclusion, and using strategies like stratification or weighting to match the population’s structure (age, sex, race, geography, etc.). When the sample mirrors the population, the estimates are less biased and more applicable to public health decisions. Taking data from a convenience group that isn’t representative introduces bias and limits generalizability. Merely collecting as many participants as possible without ensuring representativeness won’t guarantee that the findings apply broadly. Analysis remains essential, but it cannot fix a fundamentally non-representative sample.