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.
Miller-Keane Encyclopedia and Dictionary of Medicine, Nursing, and Allied Health, Seventh Edition. © 2003 by Saunders, an imprint of Elsevier, Inc. All rights reserved.

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
Farlex Partner Medical Dictionary © Farlex 2012
References in periodicals archive ?
We applied the Z-statistics or Z-test and chi-square test or [chi square]-test in this study using the model by Nigrini (2012), which is similar to the model by Carslaw (1988), Costa et al.
McNemar chi-square test was applied to see the significance of difference between the experimental and control groups in terms of frequency of urethrocutaneous fistula at alpha 0.05 as in Table 1.
The next set of chi-square tests evaluated the relationship between the triadic element of fire setting and each discrete variable of parental abuse.
Calculation for the chi-square test: an interactive calculation tool for chi-square tests of goodness of fit and independence [Online].
The low value 001 of Chi-square test clearly indicates that there is significant relationship between learning opportunities for women for career advancement and gender.
MAJ Hout states that the Chi-square test is inappropriate for these data.
To test the effect of business cycles or seasons on the market, the chi-square test was used.
Tables II and III present the results of chi-square tests examining the differences between some discernible variables related to the daily athletic, locomotive and nutritional habits.
The results of the Chi-square test did not, however, provide any statistical relationship between the size of firm, amount of experience and education of estate surveyors and valuers and their perception on the comparative importance of the identified clients' influencing factors.
The familial association of nest invaders varied significantly among the sites (chi-square test, [chi square] = 71.0, df = 5, P < 0.001).
The first and third hypotheses were analyzed with one-variable chi-square tests. The second hypothesis was analyzed using a two-variable chi-square test.
We performed chi-square tests and analyses of variance on quantitative data and used descriptive statistics to reach conclusions about the effects of counseling services administered to LTS students.