The finite population correction factor is a mathematical adjustment used when sampling from a finite population, particularly when the sample size is a significant fraction of the total population. This factor helps reduce the variance of the sample estimates, making them more accurate and representative of the entire population. It is particularly relevant in hypergeometric distributions, where the outcomes are drawn without replacement, and in contexts where understanding sample variability is crucial for effective statistical analysis.
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