Answer to Question #3679 in Statistics and Probability for tami

Question

What does central limit theorem mean.

Answer 1

The central limit theorem states that given a distribution with a mean μ and variance σ², the sampling distribution of the mean approaches a normal distribution with a mean (μ) and a variance σ²/N as N, the sample size, increases.