Anderson Darling Test in R
Anderson-Darling Test in R
The Anderson-Darling Test is a goodness-of-fit test that determines how well your data fits a given distribution.
This test is most typically used to see if your data follow a normal distribution or not.
This sort of test can be used to check for normality, which is a common assumption in many statistical tests such as regression, ANOVA, and t-tests.
Calculates the Anderson–Darling test statistic for a sample chosen from a specified distribution and determines whether to reject or accept the hypothesis that the sample was drawn from that distribution.
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