Anderson Normality Test P Value. After you have plotted data for normality test check for P-value. It computes the P value by comparing the cumulative distribution of your data set against the ideal cumulative distribution of a Gaussian distribution.
Smaller p-values provide stronger evidence against the null hypothesis. Definition of Anderson-Darling Normality Test. It takes into account the discrepancies at all parts of the cumulative distribution curve unlike the Kolmogorov-Smirnov test see below.
In these results the null hypothesis states that the data follow a normal distribution.
005 fail to reject the H0. In Develve the minimum p value for normality is 010. It computes the P value by comparing the cumulative distribution of your data set against the ideal cumulative distribution of a Gaussian distribution. Depending on A 2 you will calculate p with the following equations.
