chi-square test

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chi-square test:

see statisticsstatistics,
science of collecting and classifying a group of facts according to their relative number and determining certain values that represent characteristics of the group.
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chi-square test

[′kī ¦skwer ′test]
(statistics)
A generalization, and an extension, of a test for significant differences between a binomial population and a multinomial population, wherein each observation may fall into one of several classes and furnishes a comparison among several samples instead of just two.
References in periodicals archive ?
Table 2 presents the percentage of Male and Female student-athletes that rated listed reasons as important for non-use of alcohol in the past year and Chi-square statistics.
Euclidean Distances and Chi-square statistics are used to measure the progress of formal harmonization.
The chi-square statistics show that the fit of the model is not ideal with a [[chi].
Chi-square statistics showed a significant association between the classification results ([chi square] = 1,232.
Since chi-square statistics depend on the sample and are therefore random, their actual values are subject to statistical variations, we shall propose some convenient asymptotically standard normal tests for model selection based on [empty set]-Divergence type statistics.
The results of the three computed chi-square statistics are given below.
Similarly to the results obtained with the cross-section regressions, this evidence is strong for German, French and Spanish bond funds (with significant Chi-square statistics at the 1% level).
Chi-square statistics are also shown for sex differences among people in the same (MSA or Non-MSA) locations.
3] are chi-square statistics that test the joint significance of coefficients that appear on four lags of sentiment in the first-stage regressions for income and real rate.
001), as characterized by the chi-square statistics for the year effect (Table 10).
01 level Table 10: Chi-Square Statistics for the Joint Influence of Three Moment Correlations for the Filtered Bond Yield Movements Sample Period: Corporate: Jan 1978-Jul 1995; Treasury: Jan 1978-Mar 1991 Lags Statistic Aaa Baa 1 < i < j < 5 [chi square] (15) 53.
The estimation method for the conventional and multilevel SEM uses maximum-likelihood (ML) and maximum-likelihood-fitting function with robust standard errors and mean-adjusted chi-square statistics (MLM), respectively.