Anderson-Darling test

The Anderson-Darling test is a statistical method used to check if a set of data follows a specific distribution, typically a normal distribution. It works by comparing the observed data to what we would expect if it were perfectly distributed. The test gives a score that indicates how well the data fits the expected pattern—lower scores suggest a good fit, while higher scores indicate a poor fit. This helps researchers determine whether their assumptions about the data’s distribution are valid, which is important for accurate analysis and decision-making.