The Finite Population Central Limit Theorem extends the applicability of the Central Limit Theorem to situations where the population size is finite. It states that for large enough sample sizes, the distribution of sample means from a finite population will tend to follow a normal distribution, regardless of the shape of the population distribution. This theorem plays a crucial role in statistical inference and allows us to make assumptions about population parameters based on samples drawn from it.
