chi-square test

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chi-square test

 
a statistical procedure for determining significant differences between frequencies observed within the data and frequencies that were expected. There are two chi-squared tests: the chi-square test of independence, which tests whether two or more series of frequencies are independent of one another; and the chi-square test of goodness of fit, which tests whether an observed frequency distribution fits a specified theoretical model. Written also χ2-test.

chi-square test

a statistical method of assessing the significance of a difference, as when the data from two or more samples, such as the numbers of females and males attending each of two colleges, are represented by a discrete number.
Synonym(s): χ2 test
References in periodicals archive ?
There was no significant differences in statistics: Pearson Chi2 test = 3.
The significant differentiation rate of infection among women below and above 37 weeks gestation were found (Pearson Chi2 test = 3.
The Chi2 test of average difference between members and non-members of loyalty programs are significant for two variables with a risk of 5%.
Hence, the subsequent analysis has been carried out for each of these cities to capture the same and chi2 test has been carried out and reported to find out the independence of responses (11) across cities.
The Chi2 test suggests that p is significant in the two self-employment earnings equations, but not in the dependent employment equations.
Data analysis: provides industry standard algorithms for the most common statistical validation methods, including Chi2 test, T-test, categorical and quantitative values, deviation, error of the mean, rejection threshold, correlation, Gamma etc.
Chi2 tests were applied and risks were calculated for evaluating the association between dental decay, gingivitis and affection pattern by tooth type according to sex and age.