D-Agostino-Pearson-K2-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 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.
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Para su uso en MS-DOS
abrir el simbolo del sistema y cambiarse al directorio donde se encuentra el archivo normal.exe y dat.csv y dar la siguiente orden:
normal < dat.csv
dat.csv
tiene la siguiente información
