Source: libstatistics-normality-perl Section: perl Priority: optional Maintainer: Debian Perl Group Uploaders: gregor herrmann Build-Depends: debhelper (>= 9) Build-Depends-Indep: perl, libstatistics-distributions-perl Standards-Version: 3.9.8 Vcs-Browser: https://anonscm.debian.org/cgit/pkg-perl/packages/libstatistics-normality-perl.git Vcs-Git: https://anonscm.debian.org/git/pkg-perl/packages/libstatistics-normality-perl.git Homepage: https://metacpan.org/release/Statistics-Normality Testsuite: autopkgtest-pkg-perl Package: libstatistics-normality-perl Architecture: all Depends: ${misc:Depends}, ${perl:Depends}, libstatistics-distributions-perl Description: module for testing normal distribution of data Various situations call for testing whether an empirical sample can be presumed to have been drawn from a normally (Gaussian) distributed population, especially because many downstream significance tests depend upon the assumption of normality. Statistics::Normality implements some of the more well-known normality tests 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. . Note that, although the Kolmogorov-Smirnov test can also be used in this capacity, it is a distance test and therefore not advisable. This, and other distance tests (e.g. Chi-square) are not implemented here.