Anderson-Darling Normality Test

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Anderson-Darling Normality Test Download Products CSSBB Preparation Pack - 2009 Version Six Sigma Green Belt Training Slides - 2009 Version Six Sigma DMAIC Training Slides - 2009 Version After you have plotted data for Normality Test, Check for P-value. P-value < 0.05 = not normal. normal = P-value >= 0.05 Note: Similar comparison of P-Value is there in Hypothesis Testing. If P-Value > 0.05, Fail to Reject the H0 The Anderson-Darling test is used to test if a sample of data came from a population with a specific 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. The K-S test is distribution free in the sense that the critical values do not depend on the specific distribution being tested. The Anderson-Darling test makes use of the specific distribution in calculating critical values. This has the advantage of allowing a more sensitive test and the disadvantage that critical values must be calculated for each distribution. Posted By: Modified By: krisakorn Last Modified: Jul. 30, 2003

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