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 ?
Table 3 presents the percentage of White and Black student-athletes that rated listed reasons as important for use of alcohol in the past year and Chi-square statistics.
In the DIF analysis the program includes the following statistics: the Mantel-Haenszel chi-square statistic, the Mantel-Haenszel common log-odds ratio, the standard error of the Mantel-Haenszel common log-odds ratio, the Mantel-Haenszel log-odds ratio divided by the estimated standard error, the Breslow-Day chi-square test of trend in odds ratio heterogeneity, the combined decision rule and the ETS categorisation scheme.
The Chi-square statistics used in this study is defined as:
G statistic is an alternative of Pearson's Chi-Square statistic in categorical data analysis, especially two-way tables.
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.
Descriptive statistics such as averages and percentages as well as analysis of variance (ANOVA) and chi-square statistics were used in data analysis.
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).
We assessed the fit of the models using the chi-square statistics and a variety of practical model fit indexes.
Chi-square statistics are also shown for sex differences among people in the same (MSA or Non-MSA) locations.
001), as characterized by the chi-square statistics for the year effect (Table 10).