The Central Limit Theorem says that if you have a random sample and the sample size is large enough (usually bigger than 30), then
where Z is the standard Normal distribution with m = 0 and s = 1. This comes in really handy when you haven't a clue what the distribution is or it is a distribution you're not used to working with like, for instance, the Gamma distribution.