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Topic:
Chi-Square Goodness of Fit
Writing Hypotheses for Category Probabilities
Why Pearson’s Chi-Square Measures Lack of Fit
Using Residuals to Locate Misfitting Categories
The Likelihood-Ratio G-Test for Categorical Fit
Testing Mendelian Ratios With Goodness of Fit
Testing Whether Categories Are Equally Likely
Testing an Unequal Probability Vector
Sparse Expected Counts and Approximation Failure
Simulating P-Values for Sparse Count Data
Recognizing One-Way Goodness-of-Fit Questions
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