When doing a chi-square and goodness-of-fit test,the squared difference between the observed and theoretical frequencies should be large if a null hypothesis is to be rejected.

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In a chi-square goodness-of-fit test, a large squared difference between observed and theoretical frequencies indicates a significant deviation from what is expected under the null hypothesis, leading to its rejection.

When Doing a Chi-Square and Goodness-Of-Fit Test,the Squared Difference Between