Anderson Darling Normality Test Statistic. It is a measure of how closely a dataset follows the normal distribution. In its basic form the test assumes that there are no parameters to be estimated in the distribution being tested in which case the test and its set of critical values is distribution-free.
Smaller Anderson-Darling values indicate that the distribution fits the data better. 005 not normal. Then we highlight range C4D18 and press Ctrl-D.
This sheet will calculate the Anderson-Darling test statistic that a sample of data is normal.
The null hypothesis for this test is that the data is normal. The Anderson-Darling test Stephens1974 is used to test if a sample of data comes from a specific distribution. The p-value cell G14 is calculated as. 6 L J.
