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.
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Then it was organized, tabulated and analyzed through percentage and chi square.
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The statistical significance of the effect of each factor on outcome can be determined by the Pearson Chi square value.
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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.
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The table also shows that the chi square value X2 pless than 0.
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Variables and hypotheses determined in the research have been analyzed by chi square test.
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07 (from tables) Table 8: Summary of Chi Square Analysis.
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1299 Chi-square 29 25 13 [SIGMA] Chi square 195 149 Species (No.
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This difference was statistically significant, Chi square (1, N = 35) = 24.
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