# Intermediate Statistics with R

- By: Mark C. Greenwood
- Publisher: Montana State University
- Source: [Open Textbook Library](https://open.umn.edu/opentextbooks/textbooks/intermediate-statistics-with-r)
- Licence: Attribution-NonCommercial
- PDF: https://scholarworks.montana.edu/items/8d0ebbc9-147f-498b-8c9f-f1735d8e74cf

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 is Version 3.0 of the book.