When doing two-sample procedures, should we pool the data to estimate a common t standard deviation? Is there any benefit? Are there any risks? 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 r x c table 11.1 Chi-Square Goodness of Fit Test (pp.678-690) 1. What is a one-way table? 2. What is a chi-square goodness-of-fit test?
When doing two-sample t procedures, should we pool the data to estimate a common standard deviation? Is there any benefit? Are there any risks? 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 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 table? 2. What is a chi-square goodness-of-fit test?
tps_4e_guided_reading_notes_chapters_8-12.docx