Anderson Darling Normality Test Minitab. Jun 15 2013 While there are multiple kinds of normality tests available the Anderson Darling Test is the most reliable and commonly used test. Other alternatives include Ryan-Joiner or Shapiro-Wilk tests.
Smaller Anderson-Darling values indicate that the distribution fits the data better. The Normality Test is a statistical test that determines whether or not a data set is normally distributed. Determine whether the data do not follow a normal distribution.
To conduct an Anderson-Darling normality test in Minitab select Stat.
The Ryan-Joiner Test passes Normality with a p-value above 010 probability plot on the left. The data points are relatively close to the fitted normal distribution line. Smaller Anderson-Darling values indicate that the distribution fits the data better. Like any statistical test it requires a certain amount of data to detect non-normality and situation 1 above typically happens when there is very little data.
