Package: wnpp Severity: wishlist * Package name : libstatistics-normality-perl Version : 0.01 Upstream Author : Mike Wendl * URL : http://search.cpan.org/~mwendl/Statistics-Normality-0.01/lib/Statistics/Normality.pm * License : GPL2+ Programming Lang: Perl Description : test whether an empirical distribution can be taken as being drawn from a normally-distributed population
Complements other libstatics-*-perl modules. Upstream description: Various situations call for testing whether an empirical sample can be presumed to have been drawn from a normally (Gaussian|http://en.wikipedia.org/wiki/Normal_distribution) distributed population, especially because many downstream significance tests depend upon the assumption of normality. This package implements some of the more well-known tests|http://en.wikipedia.org/wiki/Normality_test from the mathematical statistics literature, though there are also others that are not included. The tests here are all so-called omnibus tests that find departures from normality on the basis of skewness and/or kurtosis [Dagostino71]. Note that, although the Kolmogorov-Smirnov test|http://en.wikipedia.org/wiki/Kolmogorov%E2%80%93Smirnov_test can also be used in this capacity, it is a distance test and therefore not advisable [Dagostino71]. This, and other distance tests (e.g. Chi-square) are not implemented here.