chi-square


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chi-square

 (kī′skwâr′)
n.
A test statistic that is calculated as the sum of the squares of observed values minus expected values divided by the expected values.

chi-square

n
(Statistics) statistics an inferential statistic common in survey research

chi′-square`

(ˈkaɪ)

n.
a statistical quantity equal to the summation over all variables of the quotient of the square of the difference between the observed and expected values divided by the expected value of the variable.
[1935–40]
References in periodicals archive ?
A statement was supported, when the chi-square value was found greater than the table value of 3.
During the bivariable analysis, qualitative variables were tested for significance using chi-square test and quantitative variables using t-test.
Responses based on the characteristics of the students, and the schools from which they came, were examined for differences using chi-square tests.
The degree of association of a form with a class is assessed by applying the chi-square formula on the observed data.
Andersen (1973) showed that -2 times logarithm of the difference between the maximum likelihood (ML) of the whole sample and sum of likelihoods of the subsamples is asymptotically chi-square distributed with (g-1) (k-1) degrees of freedom, where g and k are the number of score groups and the number of items, respectively.
Chi-square test (x2) was used to analyze differences in allelic frequencies and to verify Hardy-Weinberg equilibrium.
Differences in baseline characteristics of participants as a function of gender were also assessed through Chi-square test, and independent sample t-test or Mann-Whitney test if parametric assumptions were not met.
Chi-square tests (Preacher, 2001) were utilized for testing for pairwise differences of the medians of the different developmental stages in the four different oxygen levels on a specific day.
The first part indicates it is a chi-square test, and the number in parentheses represents the degrees of freedom.
Therefore, chi-square tests of independence were performed between each of the 7 professional characteristics and the 18 CPE needs.
We compared the groups on demographic characteristics using t tests for continuous variables and chi-square tests for categorical variables (Hays, 1994).