convergence

The Central Limit Theorem: the mean of n independent samples approaches a normal distribution as n grows — regardless of the source distribution's shape.

σ_means = σ_source / √n

This is why confidence intervals and hypothesis tests work. The spread of sample means shrinks predictably as 1/√n, making estimation more precise with larger samples.