Normality testing is a fundamental component in statistical analysis, central to validating many inferential techniques that presume Gaussian behaviour of error terms ...

Multivariate normality testing plays a critical role in modern statistical analysis by evaluating whether a multivariate dataset conforms to the assumptions of a normal distribution. Such assessments ...

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

Many parametric tests assume an underlying normal distribution for the population. If your data do not meet this assumption, you may prefer to use a nonparametric analysis. Base SAS software provides ...