chi-square test

(redirected from Chi square test)
Also found in: Dictionary, Encyclopedia, Wikipedia.

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 ?
The mean scores were tested using a series of Chi Square tests of independence to determine if the difference between the overall performance score and the sub group scores were significant at the .
Not surprisingly, a chi square test revealed that client age had a significant influence on this result.
A chi square test revealed that neither client age, income, nor net worth had a statistically significant impact on responses to these statements.
A chi square test of respondent perceptions of client concerns indicated that no statistically significant difference existed between the concerns of clients of planners that sell long-term care insurance and those that do not.
3)The chi square test of independence was repeatedly used to test the null hypothesis of an equality of proportions between sample groups.
The second section concentrates on experimental design, principles, and procedures including linear models and analysis of variance, method and layout of Completely Randomized Design, the advantages and disadvantages of Randomized Complete Block Design, and the Chi Square Test of Significance.
Only nine of the 52 (17 percent) revealed by their ratings on the depressed/happy scale that they were depressed: A chi square test (Siegel, 1956) indicated that the probability of this outcome being due to chance is less than 0.
Spatz (psychology, Hendrix College) explains descriptive statistics before diving into hypothesis testing and effect size, analysis of variance, and chi square tests.
Deviations from expected frequencies were tested by chi square tests.