Anderson Normality Test P Value. There is not enough evidence to suggest that the data do not follow a normal distribution. 005 fail to reject the H0.
Larger values for the Anderson-Darling statistic indicate that the data do not follow the normal distribution. 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 distributionIt is a modification of the Kolmogorov-Smirnov K-S test and gives more weight to the tails than does the K-S test. Data is sampled from a population that is normally distributed no difference between the data and normal data.
Failing the normality test allows you to state with 95 confidence the data does not fit the normal distribution.
There is not enough evidence to suggest that the data do not follow a normal distribution. IrisPetalWidth A 51057 p-value 1125e-12 The p-value of the test is less than 005 thus we have sufficient evidence to reject the null hypothesis and conclude that PetalWidth does not follow a normal distribution. Interpretation The smaller the p value the more unlikely the data-set is normally distributed. Because the p-value is 04631 which is greater than the significance level of 005 the decision is to fail to reject the null hypothesis.
