Chapter 11: Inference for Distributions of Categorical Data
Date Topic Objectives Assignments/Assessments
|11/28||Chi-Square Goodness of Fit Test(11.1)||· Know how to compute expected counts, conditional distributions, and contributions to the chi-square statistic.
· Check the Random, Large sample size, and Independent conditions before performing a chi-square test.
· Use a chi-square goodness-of-fit test to determine whether sample data are consistent with a specified distribution of a categorical variable.
· Examine individual components of the chi-square statistic as part of a follow-up analysis.
|HW: Ch. 11 Exercises #1, 3, 5, 7, 11, 15, 17
Barron’s p. 409, #1
|11/29||Chi-Square Test for Homogeneity(11.2)||· Use a chi-square test for homogeneity to determine whether the distribution of a categorical variable differs for several populations or treatments.
· Interpret computer output for a chi-square test based on a two-way table.· Examine individual components of the chi-square statistic as part of a follow-up analysis.
· Show that the two-sample z test for comparing two proportions and the chi-square test for a 2-by-2 two-way table give equivalent results
|HW: Ch. 11 Exercises #27, 29, 31, 33, 35 Barron’s p. 410, #5
Power point from today’s class:
|11/30||Chi-Square Test for Independence(11.2)||· Check the Random, Large sample size, and Independent conditions before performing a chi-square test.
· Use a chi-square test of association/independence to determine whether there is convincing evidence of an association between two categorical variables.
· Interpret computer output for a chi-square test based on a two-way table.
|HW: Ch. 11 Exercises #37, 39 45, 47, 51 Barron’s p. 410 #3|
|12/1||Practice Chi-Square Tests||Free Response Practice Answer Key: ch11key||Ch. 11 AP Practice Test (p. 732-735)|
|12/2||QUIZ||Chi Square Tests – Goodness of Fit, Homogeneity and Independence|