Anderson Darling Test. 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. It is a modification of the Kolmogorov-Smirnov K-S testand gives more weight to the tails than does the K-S test.
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Data do not follow a normal distribution. The Anderson-Darling test is an EDF omnibus test for the composite hypothesis of normality. The Anderson-Darling test is used to test if a sample of data came from a population with a specific 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 test Stephens1974 is used to test if a sample of data comes from a specific distribution. A goodness-of-fit test is a procedure for determining whether a sample of nobservations x1xn can be considered as a sample from a. Because the p-value is 04631 which is greater. The Anderson-Darling test is used to test if a sample of data came from a population with a specific distribution.
