Anderson-Darling Normality Test

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Anderson-Darling Normality Test New from iSixSigma CSSBB Preparation Pack Certified Lean Six Sigma Black Belt Assessment Exam Certified Lean Six Sigma Green Belt Assessment Exam 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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