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'''Chi-squared test''' (or <math>\Chi^2</math> test) is a [[statistical hypothesis test]]. It usually tests the [[hypothesis]] that "the experimental data does not differ from untreated data". That is a [[null hypothesis]]. The distribution of the test statistic is a [[chi-squared distribution]] when the null hypothesis is true.

The test results are regarded as 'significant' if there is only one chance in 20 that the result could be got by chance.
==Groups==
There are three main groups of tests:
*Tests for distribution check that the values follow a given [[probability distribution]].
*Tests for independence check that the values are [[Independence (statistics)|independent]]; if this is the case, no value can be left out without losing information.
*Tests for homogeneity: These check that all samples taken have the same probability distribution, or are from the same set of values.

{{Statistics}}

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[[Category:Statistical tests]]

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