The Central Limit Theorem is a statistical principle stating that, under certain conditions, the distribution of the sum of a large number of independent and identically distributed random variables tends to approach a normal distribution, regardless of the original distribution’s shape.
This theorem is crucial for statistical inference, providing a foundation for analyzing and understanding data in various fields, such as social sciences, physics, and economics.
