What exactly is an Anderson-Darling test? Testing for normality is often the first step in analyzing your data. Many ...

Most data is non-normal, normal distributions are ideal. Data might be non-normal due to extreme values and variances. If you have non-normal data, you still have plenty of tools for analysis.

The problem is that statistical tools are built on basic assumptions such as the independence of replicate measurements and the normality of data distribution. Usually, sizeable datasets are ...