# Intermediate Statistics with R

- By: Mark Greenwood
- Publisher: Montana State University
- Source: [LibreTexts](https://stats.libretexts.org/Bookshelves/Advanced_Statistics/Intermediate_Statistics_with_R_(Greenwood))
- Licence: [CC BY-NC 4.0](https://creativecommons.org/licenses/by-nc/4.0/)
- Read at LibreTexts: https://stats.libretexts.org/Bookshelves/Advanced_Statistics/Intermediate_Statistics_with_R_(Greenwood)
- PDF: https://downloads.libretexts.org/api/v1/download/stats-31914/pdf

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.