Numerical Analysis II
Stratified sampling is a method of sampling that involves dividing a population into distinct subgroups, or strata, based on shared characteristics before selecting samples from each stratum. This technique ensures that each subgroup is adequately represented in the final sample, which can improve the accuracy and reliability of results. By focusing on specific segments of the population, stratified sampling reduces variability and can provide more precise estimates than simple random sampling.
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