Central Limit Theorem

The central limit theorem states that the sampling distribution of the mean approaches a normal distribution, as the sample size increases.

This is an attempt to visually explain the core concepts of the Central Limit Theorem. By providing a variety of interactive components, this page seeks to provide an intuitive understanding of one of the foundational theories behind inferential statistics