Pearson's chi-square test

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Pearson's chi-square test

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In order to establish the dependency test, statistical testing using Pearson chi-square test was used.
5) 19 Note: All variables had significant Pearson chi-square test (p < 0.
The Pearson Chi-square test shows that there is no association between the two variables equality in provisions for skill development and gender as the value of significance is .
The Pearson Chi-square test is the probability of obtaining a chi-square value greater than the one listed purely by chance if no relationship exists between X and Y and variables can be calculated.
Categorical variables were compared by using the Pearson chi-square test among the groups.
Answers about product distribution were similar in the two states (Table 2, Pearson chi-square test, P = 0.
The Pearson chi-square test was mentioned above in the discussion of correspondence analysis and will continue to be used in these tests.
It must be noted that results from the Pearson Chi-square test of association are not theoretically as reliable as results obtained from logistic regression analysis or Cox regression.
The parametric one-way ANOVA analysis, observing variance homogeneity and normal distribution for age and body mass index values (Table 1) for lipid levels (Table 4) and Pearson Chi-square test for other qualitative data were performed (Table 1).
The Pearson Chi-square test was used to see the association between the Machiavellian variable and the demographic variables.
Pearson chi-square tests, Fisher's exact tests (used when the expected cell count is less than 5, a required assumption for using the Pearson chi-square test), and t-tests were used to assess the statistical significance of the association between risk of ED and indicators of socio-demographic factors, body weight and physical activity in men, as well as to examine gender differences in the frequencies of disordered eating behaviors in individuals at risk for ED.
dagger]) By Pearson chi-square test or analysis of variance.