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

What exactly is an Anderson-Darling test? Testing for normality is often the first step in analyzing your data. Many statistical tools you might use have normality as an underlying assumption. If you ...

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 ...