Anderson Darling Test Online. The Anderson-Darling test is used to test if a sample of data came from a population with a specific distribution. Data is sampled from a population that is normally distributed.
It tests the null hypothesis that k-samples are drawn from the same population without having to specify the distribution function of that population. The k-sample Anderson-Darling test is a modification of the one-sample Anderson-Darling test. The Anderson-Darling statistic measures how well the data follow a particular distribution.
For example you can use the Anderson-Darling statistic to determine whether data meets the assumption of normality for a t-test.
The Anderson-Darling statistic measures how well the data follow a particular distribution. It is a modification of the Kolmogorov-Smirnov K-S test and gives more weight to the tails than does the K-S test. This type of test is useful for testing for normality which is a common assumption used in many statistical tests including regression ANOVA t-tests and. Jul 21 2020 An Anderson-Darling Test is a goodness of fit test that measures how well your data fit a specified distribution.
