Anderson Darling Normality Test A Squared. However MINITAB gives us a p value with both tests and so we can automatically compare this value to our stated alpha level without having to bother looking up values in a table. Test for Distributional Adequacy.
For a specified data set and distribution the better the distribution fits the data the smaller this statistic will be. The Anderson-Darling statistic is a squared distance that is weighted more heavily in the tails of the distribution. For example you can use the Anderson-Darling statistic to determine whether data meets the assumption of normality for a t-test.
Test for Distributional Adequacy.
The p-value cell G14 is calculated as. This class of statistics is based on the squared difference. However MINITAB gives us a p value with both tests and so we can automatically compare this value to our stated alpha level without having to bother looking up values in a table. The null hypothesis for this test is that the data is normal.
