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.

The Central Limit Theorem is a statistical concept applied to large data distributions. It says that as you randomly sample data from a distribution, the means and standard deviations of the samples ...

Cover Story - Packaging Sterile Packaging: Sample Sizes and Statistics Determining appropriate sample sizes for operational qualifications can help manufacturers ensure sterility of medical device ...