If the calculated chi-square value equals or exceeds the value found in the table, the differences in the observed frequencies are considered to be statistically significant.

Question

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When the calculated chi-square value equals or exceeds the critical value from the chi-square distribution table at a given significance level, it indicates that the observed frequencies significantly differ from the expected frequencies, leading to the rejection of the null hypothesis.

If the Calculated Chi-Square Value Equals or Exceeds the Value