Anderson Darling Test For Normality. Apr 22 2019 An Anderson-Darling Test is a goodness of fit test that measures how well your data fit a specified distribution. 005 fail to reject the H0.
Data is sampled from a population that is normally distributed. It is a modification of theKolmogorov-SmirnovK-S testand gives more weight to the tails of the distribution thandoes the K-S test. In its basic form the test assumes that there are no parameters to be estimated in the distribution being tested in which case the test and its set of critical values is distribution-free.
The normal random numbers were stored in the variable Y1 the double exponential random numbers were stored in the variable Y2 the Cauchy random numbers were stored in the variable Y3 and the lognormal random numbers were stored in the variable Y4.
The AndersonDarling test is a statistical test of whether a given sample of data is drawn from a given probability distribution. In its basic form the test assumes that there are no parameters to be estimated in the distribution being tested in which case the test and its set of critical values is distribution-free. The normal random numbers were stored in the variable Y1 the double exponential random numbers were stored in the variable Y2 the Cauchy random numbers were stored in the variable Y3 and the lognormal random numbers were stored in the variable Y4. Normal P-value 005.
