D'Agostino-Pearson's K2 test for assessing normality of a data vector.


Updated 7 Apr 2015

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The D'Agostino-Pearson's K2 test is used to assessing normality of data using skewness and kurtosis. It approximates to the chi-squared distribution.
File needs to input the data vector and significance level (default = 0.05).
It outputs whether or not the normality is met.

Cite As

Antonio Trujillo-Ortiz (2023). DagosPtest (https://www.mathworks.com/matlabcentral/fileexchange/3954-dagosptest), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R11
Compatible with any release
Platform Compatibility
Windows macOS Linux

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