Chi-square test: Difference between revisions
From Glossary of Meteorology
imported>Perlwikibot (Created page with " {{TermHeader}} {{TermSearch}} <div class="termentry"> <div class="term"> == chi-square test == </div> <div class="definition"><div class="short_definition">A [[statist...") |
imported>Perlwikibot No edit summary |
||
| (One intermediate revision by the same user not shown) | |||
| Line 9: | Line 9: | ||
</div> | </div> | ||
<div class="definition"><div class="short_definition">A [[statistical significance test]] based on [[frequency]] of occurrence; it is applicable both to qualitative attributes and quantitative variables.</div><br/> <div class="paragraph">Among its many uses, the most common are tests of hypothesized probabilities or [[probability distributions]] ([[goodness of fit]]), [[statistical dependence]] or [[independence]] (association), and common [[population]] (homogeneity). The formula for chi square (χ<sup>2</sup>) depends upon intended use, but is often expressible as a sum of terms of the type (''f'' | <div class="definition"><div class="short_definition">A [[statistical significance test]] based on [[frequency]] of occurrence; it is applicable both to qualitative attributes and quantitative variables.</div><br/> <div class="paragraph">Among its many uses, the most common are tests of hypothesized probabilities or [[probability distributions]] ([[goodness of fit]]), [[statistical dependence]] or [[independence]] (association), and common [[population]] (homogeneity). The formula for chi square (χ<sup>2</sup>) depends upon intended use, but is often expressible as a sum of terms of the type (''f'' - ''h'')<sup>2</sup>/''h'' where ''f'' is an observed frequency and ''h'' its hypothetical value.</div><br/> </div> | ||
</div> | </div> | ||
Latest revision as of 13:49, 20 February 2012
chi-square test[edit | edit source]
A statistical significance test based on frequency of occurrence; it is applicable both to qualitative attributes and quantitative variables.
Among its many uses, the most common are tests of hypothesized probabilities or probability distributions (goodness of fit), statistical dependence or independence (association), and common population (homogeneity). The formula for chi square (χ2) depends upon intended use, but is often expressible as a sum of terms of the type (f - h)2/h where f is an observed frequency and h its hypothetical value.
