chi-square test

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chi-square test

n.
A test that uses the chi-square statistic to test the fit between a theoretical frequency distribution and a frequency distribution of observed data for which each observation may fall into one of several classes.

chi-square test

n
(Statistics) statistics a test derived from the chi-square distribution to compare the goodness of fit of theoretical and observed frequency distributions or to compare nominal data derived from unmatched groups of subjects

chi′-square`

(or chi′-squared`) test`,


n.
a test that uses the quantity chi-square for testing the mathematical fit of a frequency curve to an observed frequency distribution.
[1935–40]
References in periodicals archive ?
The Chi2 test with a confidence range of 95% was performed in order to compare the seroprevalence in relation to age, sex, species, type of livestock and other factors.
There was no evidence of meaningful heterogeneity in this meta-analysis: I2 was 0%, the chi2 test for heterogeneity was not significant and the confidence intervals from individual studies overlapped.
Chi2 test was performed to evaluate the Hardy-Weinberg Equilibrium of each polymorphic site.
A univariate and bivariate analysis took place, as well as differences in means and proportions with the student's t and the chi2 test, respectively.
Qualitative comments (BA and NI) were treated as categorical data enabling a Chi2 test for statistical significance.
In statistics, CHI2 test is applied to examine independence of two events.