D'Agostino's K-squared test
GOODNESS-OF-FIT MEASURE IN STATISTICS
D'Agostino-Pearson Test; D’Agostino’s K-squared test
In statistics, D'Agostino's K2 test, named for Ralph D'Agostino, is a goodness-of-fit measure of departure from normality, that is the test aims to gauge the compatibility of given data with the null hypothesis that the data is a realization of independent, identically distributed Gaussian random variables. The test is based on transformations of the sample kurtosis and skewness, and has power only against the alternatives that the distribution is skewed and/or kurtic.