Table of Contents

Preface

• Acknowledgements
• 0.0Overview of methods
• 0.1Getting started in R
• 0.2Basic summary statistics, histograms and boxplots using R
• 0.3Chapter summary
• 0.4Important R Code
• 0.5Practice problems

Chapter 1

• 1 (R)e-introduction to statistics
• 1.0 Histograms, boxplots, and density curves
• 1.1 Beanplots
• 1.2 Models, hypotheses, and permutations for the 2 sample mean situation
• 1.3 Permutation testing for the 2 sample mean situation
• 1.4 Hypothesis testing (general)
• 1.5 Connecting randomization (nonparametric) and parametric tests
• 1.6 Second example of permutation tests
• 1.7 Confidence intervals and bootstrapping
• 1.8a Bootstrap confidence interval for difference in GPAs
• 1.8b Chapter summary
• 1.9 Summary of important R code
• 1.10 Practice problems

Chapter 2

• 2.0 Situation One-Way ANOVA
• 2.1 Linear model for One-Way ANOVA (cell-means and reference-coding)
• 2.2 One-Way ANOVA Sums of Squares, Mean Squares, and F-test
• 2.3 ANOVA model diagnostics including QQ-plots
• 2.4 Guinea pig tooth growth One-Way ANOVA example
• 2.5 Multiple (pair-wise) comparisons using Tukey's HSD and the compact letter display
• 2.6 Pair-wise comparisons for Mock Jury data
• 2.7 Chapter Summary
• 2.8 2.8 Summary of Important R code
• 2.9 2.9: Practice problems