Chapter 11: Inference for Distributions of Categorical Data Key Vocabulary: one way table chi square distribution chi square test for chi-square test for degrees of freedom homogeneity goodness of fit chi-square distribution chi square test for chi-square statistic components of chi-square association/ expected count cell counts independence observed count r x c table 11.1 Chi-Square Goodness of Fit Test (pp.678-690) 1. What is a one-way 2. What is a chi-square goodness-of-fit test? 3. What is the difference between the notation X2 and 2? 4. the general form for the for a goodness of fit test. 2 null hypotheses 5. State the general form for the for a goodness of fit test. 2 alternative hypotheses 6. How do you calculate the for a chi-square goodness-of-fit test? How should expected counts you round the answer for the expected counts? 7. What is the shape of a What happens to the shape as the degrees of chi-square distribution? freedom increases? (Illustrate with a diagram)
Chapter 11: Inference for Distributions of Categorical Data Key Vocabulary: one way table chi-square test for goodness of fit chi-square statistic expected count observed count chi square distribution degrees of freedom chi-square distribution components of chi-square cell counts r x c table chi square test for homogeneity chi square test for association/ independence 11.1 Chi-Square Goodness of Fit Test (pp.678-690) 1. What is a one-way 2. What is a chi-square goodness-of-fit test? 3. What is the difference between the notation X2 and 2? 4. the general form for the null hypotheses for a 2 goodness of fit test. 5. State the general form for the alternative hypotheses for a 2 goodness of fit test. 6. How do you calculate the expected counts for a chi-square goodness-of-fit test? How should you round the answer for the expected counts? 7. What is the shape of a chi-square distribution? What happens to the shape as the degrees of freedom increases? (Illustrate with a diagram)
TPS-4e-Guided-Reading-Notes-Chapters-11.docx