Tests for normality are particularly important in process capability analysis because the commonly used capability indices are difficult to interpret unless the data are at least approximately ...

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

You can find out if your data is uniform by conducting a normality test. Normality tests are a fast way of determining if ...

Recent research has focused on developing new methods and improving existing tests for various statistical distributions, including the normal, exponential, inverse Gaussian, Pareto, and Weibull ...

clinicians determine what are called reference intervals by measuring a blood test in a range of healthy people. They usually take the middle 95% of these healthy values and call that “normal ...