Finite Population Correction (FPC) is a factor used in statistical calculations that adjusts the standard error of estimates when sampling from a finite population, rather than an infinite one. This correction accounts for the fact that, as the sample size approaches the size of the population, the variability of the sample decreases, thus providing a more accurate estimate of population parameters. The FPC is crucial in ensuring that the results from sampling are reliable, especially in methods that involve cluster sampling and resource allocation.
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