When the chi- square test statistic is greater than the chi- square critical value when comparing two or more population proportions, we fail to reject the null hypothesis.

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When the chi-square test statistic is greater than the chi-square critical value, we reject the null hypothesis, indicating that there is a significant difference between the observed and expected frequencies.

When the Chi- Square Test Statistic Is Greater Than the Chi-