How to Install and Uninstall libstatistics-normality-perl Package on Ubuntu 21.10 (Impish Indri)

Last updated: September 20,2024

1. Install "libstatistics-normality-perl" package

This tutorial shows how to install libstatistics-normality-perl on Ubuntu 21.10 (Impish Indri)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                libstatistics-normality-perl
            
                    
    
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2. Uninstall "libstatistics-normality-perl" package

Please follow the guidelines below to uninstall libstatistics-normality-perl on Ubuntu 21.10 (Impish Indri):


    
        
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                sudo apt remove
            
                        
                libstatistics-normality-perl
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the libstatistics-normality-perl package on Ubuntu 21.10 (Impish Indri)

Package: libstatistics-normality-perl
Architecture: all
Version: 0.01-1.1
Priority: optional
Section: universe/perl
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Perl Group
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 39
Depends: perl:any, libstatistics-distributions-perl
Filename: pool/universe/libs/libstatistics-normality-perl/libstatistics-normality-perl_0.01-1.1_all.deb
Size: 14428
MD5sum: 0afec2dfc1b74792577e683392c2e698
SHA1: 584e435666b5874d066744ce2ad1b8587b1eb79e
SHA256: b5c923ae4878aefb2fa0741e40c22942d8472a6ba3bf337b6b967af3910d5f45
SHA512: 6677b64c304d9d41ed92337fe984db13471460850e473d2daba4b9a3562282c211f0f72d05bb30505d701cdd0d7d2cff1a49c61e054856060d1d4fbebe2e2da5
Homepage: https://metacpan.org/release/Statistics-Normality
Description-en: 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.
Description-md5: dc6ccfa7a62c9da7efc61f5abc14d55a