Central limit theorem

The Central Limit Theorem (CLT) is a fundamental statistical principle that states that, under certain conditions, the distribution of the sum (or average) of a large number of independent, identically distributed random variables will approximate a normal distribution (Gaussian distribution), regardless of the original distribution of the variables. Here are the key points of the Central Limit Theorem: 1. **Independent and Identically Distributed (i.i.d.