A Simple Proof of the Nonapplicability of the Central Limit Theorem to Finite Populations

The central limit theorem is often misstated in published statistical literature.When one is sampling from a finite population, increasing the sample size will not always bring the shape of the sampling distribution of the sample mean closer to normality.This paper demonstrates that the sampling distribution departs from normality as the sample size approaches the finite population size.