Anderson Darling Test Statistic. Smaller Anderson-Darling values indicate that the distribution fits the data better. For example you can use the Anderson-Darling statistic to determine whether data meets the assumption of normality for a t-test.
It is a modification of theKolmogorov-SmirnovK-S testand gives more weight to the tails of the distribution thandoes the K-S test. This sheet will calculate the Anderson-Darling test statistic that a sample of data is normal. The null hypothesis that X and Y come from the same continuous distribution is rejected if AD ADcrit where ADcrit is the critical value found in the table of critical values.
This sheet will calculate the Anderson-Darling test statistic that a sample of data is normal.
Jul 21 2020 An Anderson-Darling Test is a goodness of fit test that measures how well your data fit a specified distribution. Smaller Anderson-Darling values indicate that the distribution fits the data better. The Anderson-Darling Test measures the area between a fitted line based on the chosen distribution and a nonparametric step function based on the plot points. For a specified data set and distribution the better the distribution fits the data the smaller this statistic will be.
