Ad Normality Test. 005 not normal. Similar comparison of P-value is there in Hypothesis Testing.
To determine whether the data do not follow a normal distribution compare the p-value to the significance level. 005 not normal. Usually a significance level denoted as α or alpha of 005 works well.
DAgostino 1990 describes a normality test that combines the tests for skewness and kurtosis.
While it is sometimes touted as the most powerful test no one test is best against all alternatives and the other 2 tests are of comparable power. To check if the data-set is distributed according the normal distribution. One type of test is the Anderson-Darling test. The p-values given by Distribution Analyzer for this test may differ slightly.
