Central limit theorem

A fundamental theorem stating that the standardized sample mean of n independent, identically distributed random variables with finite mean and variance converges in distribution to the standard normal as n → ∞, regardless of the underlying distribution. It provides the theoretical foundation for most frequentist inferential procedures.