Hypotheses for Individual Distribution Identification

Minitab calculates Anderson-Darling statistics and the p-value for each distribution and transformation. For the Anderson-Darling test, the hypotheses are the following:
  • H0: Data follow the distribution.
  • H1: Data do not follow the distribution.
Minitab performs a likelihood-ratio test to determine whether adding an additional parameter to selected distributions significantly improves the distribution fit. For the likelihood-ratio test, the hypotheses are the following:
  • H0: The simpler model (smaller distribution family) fits the data well. (Adding an extra parameter does not significantly improve the fit.)
  • H1: The more complex model with an extra parameter (larger distribution family) significantly improves the fit.
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