How do I interpret Central Limit Theorem?
The central limit theorem says that the sampling distribution of the mean will always be normally distributed, as long as the sample size is large enough. Regardless of whether the population has a normal, Poisson, binomial, or any other distribution, the sampling distribution of the mean will be normal.For continued process verification (CPV) or other statistical analysis, we assume that n=30 or ...