Anderson Darling Normality Test. This has the advantage of allowing a more sensitive test and the disadvantage that critical values must be calculated for each distribution. Normal p value 0 05.
The p value cell g14 is calculated as described in figure 3 using range g7 g10. The anderson darling test makes use of the specific distribution in calculating critical values. The anderson darling test was developed in 1952 by theodore anderson and donald darling.
Similar comparison of p value is there in hypothesis testing.
After you have plotted data for normality test check for p value. For a specified data set and distribution the better the distribution fits the data the smaller this statistic will be. You can use the anderson darling statistic to compare how well a data set fits different distributions. The anderson darling test was developed in 1952 by theodore anderson and donald darling.
