|  | 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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          [Optional] Read section 12.1 of Navidi's textbook  Interactive statistics learning apps
          
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