The central limit theorem (CLT) establishes that (under certain conditions) the properly normalized sum of independent random variables tends toward a normal distribution even if the original ...

Central Limit Theorem: A sampling distribution of the mean is approximately normally distributed if the sample size is sufficiently large. This is true no matter what the population distribution is.