Introductory statistics courses prepare students to think statistically but cover relatively few statistical methods. Building on the basic statistical thinking emphasized in an introductory course, a second course in statistics at the undergraduate level can explore a large number of statistical methods. This text covers more advanced graphical summaries, One-Way ANOVA with pair-wise comparisons, Two-Way ANOVA, Chi-square testing, and simple and multiple linear regression models. Models with interactions are discussed in the Two-Way ANOVA and multiple linear regression setting with categorical explanatory variables. Randomization-based inferences are used to introduce new parametric distributions and to enhance understanding of what evidence against the null hypothesis "looks like". Throughout, the use of the statistical software R via Rstudio is emphasized with all useful code and data sets provided within the text.
This open book is licensed under a Creative Commons License (CC BY-NC). You can download Intermediate Statistics with R ebook for free in PDF format (7.8 MB).
Table of Contents
(R)e-Introduction to statistics
Correlation and Simple Linear Regression
Simple linear regression inference
Multiple linear regression
Intermediate Statistics with R
Montana State University
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