chi square

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chi square (c2)

a statistical test for use with nominal data (see CRITERIA AND LEVELS OF MEASUREMENT). The EXPERIMENTAL HYPOTHESIS predicts how many subjects in each group being tested will fall into certain categories if there are no differences between the groups, and the chi-square test compares the observed frequencies with the expected frequencies. The larger the difference between the observed and expected frequency, the more likely that there is a statistically significant difference between the categories.
References in periodicals archive ?
Then it was organized, tabulated and analyzed through percentage and chi square.
The statistical significance of the effect of each factor on outcome can be determined by the Pearson Chi square value.
g, whether there were, or not, more Form 1 present in Class 1 than in the other classes, or vice versa), the sign of the difference between the observed and the expected frequencies is added to the chi square value, which is then denominated chi square of association.
The table also shows that the chi square value X2 pless than 0.
0 Table 2 Chi Square Table of Managerial YELLING on Occurrences of Workplace VIOLENCE Management Workplace MANAGEMENT LEVELS Total Levels violence Frontline Middle Top Violence No Count 39 10 24 73 Expected Count 38.
07 (from tables) Table 8: Summary of Chi Square Analysis.
1299 Chi-square 29 25 13 [SIGMA] Chi square 195 149 Species (No.
These Chi Square figures focus specifically on Haitian/Hispanic comparisons.
This difference was statistically significant, Chi square (1, N = 35) = 24.
A Chi Square analysis was not possible due to cell size restrictions.