Embedded Files
Chapter 11 Introduction.pdfChapter 11: Introduction
Chapter 11: Introduction
Section 11.1.pdfSection 11.1: Chi-square and Goodness-of-Fit
Section 11.1: Chi-square and Goodness-of-Fit
Learning Objectives
Understand the Chi-square distribution.
Find expected frequencies for samples following a given distribution.
Understand, describe, and interpret a Chi-square Goodness-of-Fit test .
Section 11.2.pdfSection 11.2: Tests for Independence and Homogeneity of Proportions
Section 11.2: Tests for Independence and Homogeneity of Proportions
Learning Objectives
Conduct a chi-square test for Independence.
Conduct a test for the homogeneity of proportions.
Section 11.3.pdfSection 11.3: Inference for Population Variance and Standard Deviation
Section 11.3: Inference for Population Variance and Standard Deviation
Learning Objectives
Find and interpret confidence intervals for population variance and standard deviation.
Conduct hypothesis tests for population variance and standard deviation.
Section 11.4.pdfSection 11.4: One-way Analysis of Variance (ANOVA)
Section 11.4: One-way Analysis of Variance (ANOVA)
Learning Objectives
Verify the requirements to use One-way ANOVA
Use One-way ANOVA to test for the difference between means of three or more populations .
Section 11.5.pdfSection 11.5: Summary of Inference
Section 11.5: Summary of Inference
Learning Objectives
Identify appropriate statistics, visualizations, and inference procedures to apply in different situations depending on types of variables, data, and goals.
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