absolute value is equal to 5. Can you formally reject the hypothesis that observed cou under independence of features? Yes, standardised Pearson's residuals are asymptotically normally distributed, so prove that there's deviation from independence in the cell

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5. Say after seeing the contingency table you calculate standardised Pearson's residuals, and in one of the cells their
absolute value is equal to 5. Can you formally reject the hypothesis that observed count in a cell is equal to expected one
under independence of features?
Yes, standardised Pearson's residuals are asymptotically normally distributed, so very large or very small values
prove that there's deviation from independence in the cell
No, because the cell was not selected before seeing the data - ideally such follow-up hypothesis should be tested
on new data
Transcribed Image Text:5. Say after seeing the contingency table you calculate standardised Pearson's residuals, and in one of the cells their absolute value is equal to 5. Can you formally reject the hypothesis that observed count in a cell is equal to expected one under independence of features? Yes, standardised Pearson's residuals are asymptotically normally distributed, so very large or very small values prove that there's deviation from independence in the cell No, because the cell was not selected before seeing the data - ideally such follow-up hypothesis should be tested on new data
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