The logic behind the chi-square goodness-of-fit test is based on determining how far the actual observed frequencies are from the expected frequencies.

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The chi-square goodness-of-fit test compares the observed frequencies in each category to the expected frequencies to see if there's a significant difference, indicating how well the observed data fit the expected distribution.

The Logic Behind the Chi-Square Goodness-Of-Fit Test Is Based on Determining