D'Agostino's K-squared Test
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A D'Agostino's K-squared Test is a goodness-of-fit test of whether a given sample is from a normally distributed population.
- AKA: D'Agostino's K2 Test.
- See: Shapiro–Wilk Test, Kurtosis, Skewness, Statistical Inference, Parametric statistics, Normality Test.
References
2016
- (Wikipedia, 2016) ⇒ http://en.wikipedia.org/wiki/D'Agostino's_K-squared_test Retrieved 2016-08-21
- 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 establish whether or not the given sample comes from a normally distributed population. 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.