Intermediate Statistics with R
Book Details
| Author | Mark Greenwood |
| Publisher | Montana State University |
| Published | 2025 |
| Edition | 1 |
| Paperback | 470 pages |
| Language | English |
| License | Creative Commons Attribution-NonCommercial |
Book Description
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 book is available under a Creative Commons Attribution-NonCommercial license (CC BY-NC), which means that you are free to copy, distribute, and modify it, as long as you attribute the source and don't use it for commercial purposes.
If you enjoyed the book and would like to support the author, you can purchase a printed copy (hardcover or paperback) from official retailers.
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