Anderson Darling Test Interpretation. The Anderson-Darling statistic is a squared distance that is weighted more heavily in the tails of the distribution. There are many good references for this including Simulation Modeling and Analysis by Law.
Anderson Darling Normality Test from variation.com
Their results showed that the Shapiro-Wilk test is the most powerful normality test followed by Anderson-Darling test. Test for Distributional Adequacy The Anderson-Darling test Stephens 1974 is used to test if a sample of data came from a population with a specific distribution. The p-value is a probability that measures the evidence against the null hypothesis.
The Anderson-Darling test for normality is one of three general normality tests designed to detect all departures from normality.
The p-value is a probability that measures the evidence against the null hypothesis. The Anderson-Darling statistic is a squared distance that is weighted more heavily in the tails of the distribution. If the test statistic is higher than a critical value the null hypothesis is rejected at the corresponding significance level ie there is evidence to suggest that the. Smaller p-values provide stronger evidence against the null hypothesis.
