Transformations Summary Many statistical methods require the data to fit assumptions of Normal distribution and uniform variance. When data do not fit these, one approach is to make them do so by a mathematical transform - Geometric mean - Document - PDFSEARCH.IO

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	Transformations Summary Many statistical methods require the data to fit assumptions of Normal distribution and uniform variance. When data do not fit these, one approach is to make them do so by a mathematical transform Add to Reading List Document Date: 2006-05-26 08:23:40 Open Document File Size: 2,46 MB Share Result on Facebook Company No RA / / IndustryTerm healthcare research / car speed / healthcare professionals / energy / / Position lecturer / / ProgrammingLanguage L / / SocialTag Summary statistics Logarithms Transforms Data transformation Geometric mean Normal distribution Average Standard deviation Order of magnitude Statistics

Transformations Summary Many statistical methods require the data to fit assumptions of Normal distribution and uniform variance. When data do not fit these, one approach is to make them do so by a mathematical transformAdd to Reading List