# 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
Collins English Dictionary – Complete and Unabridged, 12th Edition 2014 © HarperCollins Publishers 1991, 1994, 1998, 2000, 2003, 2006, 2007, 2009, 2011, 2014

## (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]
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The result of the chi-square statistics in Table 2 shows that there is no significant difference (X2 = 2.235, N =115, df =4, p = 0.693) in their ability in defining the need for information across the three institutions.
It is recommended that chi-square statistics should be regarded as goodness or badness of model fit in that large value of chi-square correspond to poor model fit and small value shows good model fit.
Chi-square statistics were used to show the association of the cyst with the jaw.
(The expected cell total), [The chi-square statistics for each cell]
Regarding to the use of chi-square distance used in the improvement of multivariate methods, Knusel (2008) proposed a new method of factorial rotation based on chi-square statistics, the Chisquaremax criterion.
22,840 22,840 Chi-square statistics 8822 8822 Notes: The table displays the auxiliary regression from which the permanent income has been generated for each household in the sample.
The rule of p [less than or equal to] 7 applies in this case as the size of judges (p) = 3 and to test the significance, the Chi-square statistics was computed.
This analysis was completed using Chi-square statistics, with significance at (p < 0.05).
Table 1 presents the percentage of Male and Female student-athletes that rated listed reasons as important for use of alcohol in the past year and Chi-square statistics. Significantly more Male than Female student-athletes rated to have more fun, to meet people, to get drunk, to relax / lower my inhibitions, and nothing else to do as important reasons for use of alcohol in the past year.
Chi-square statistics tests the hypothesis whether the row and column variables in a cross tabulation are independent or not.
The program also gives the Breslow-Day statistic and two combined decision rules which serve as criteria for classifying the DIF: the first is based on the significance of the Mantel-Haenszel chi-square and the Breslow-Day chi-square statistics (using a confidence level of 0.025), while the second uses the traditional criteria applied by the ETS (Educational Testing Service) to classify DIF (A = small, B = moderate and C = large).

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