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14. Chisquare Tests
Topics and Notes
- chi-square goodness-of-fit of categorical distributions
- a. Categorical Distribution
- ■ Cell probabilities (pi) for corresponding i-th class label
- ■ Sum to unity: $\sum_{i=1}^k p_i = 1$
- b. Expected versus Observed Frequencies
- ■ Expected cell frequencies: sample size × cell probabilities - expected frequency table (E)
- ■ Observed cell frequencies: The actual counts recorded in the data for each category - observed frequency table (O)
- c. Chisquare Goodness-of-fit Test
- ■ The distance between two frequency tables
$$TS = \sum_{i=1}^k\frac{(O_i-E_i)^2}{E_i}$$
- ■ Chisquare distribution and chisquare table
- Chi-square test of independence (optional)
- Lecture Note
- a. [Lecture Note] Goodness-of-fit test
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Learning Resources
- [Optional] Read section 12.1 of Navidi's textbook
- Interactive statistics learning apps
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