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 ?
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.
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.
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.
To examine the relationship between drug use and sexual behaviors, a series of chi-square tests on drug use and HIV risk behavior was used.
Chi-square tests and MANOVA were used to analyze the data.
However, chi-square tests of the improvement among the two groups were not that different in their results.