Review challenges in the use of normality testing situations and recommendations on how to assess data distributions in the pharmaceutical development manufacturing environment Statisticians ...

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.

Many industries need an easy and reliable way to establish the droplet size distribution (DSD) in the dispersed phase of an emulsion. At the same time, they also need to ensure that the structure of ...