Package: libstatistics-normality-perl (0.01-2)
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Download Source Package libstatistics-normality-perl:
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- [libstatistics-normality-perl_0.01-2.debian.tar.xz]
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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.
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Download libstatistics-normality-perl
Architecture | Package Size | Installed Size | Files |
---|---|---|---|
all | 14.5 kB | 40.0 kB | [list of files] |