The squared difference between the observed and expected frequencies should be large if there is a significant difference between the proportions.

Question

Quizplus · Accepted Answer

This is correct. The chi-square test statistic for testing differences between proportions is calculated by summing the squared differences between the observed and expected frequencies, divided by the expected frequencies. If there is a significant difference between the proportions, the observed frequencies will deviate from what would be expected based on chance alone, resulting in a large chi-square statistic.

The Squared Difference Between the Observed and Expected Frequencies Should