Intermediate Statistics with R

Intermediate Statistics with R

Greenwood, Mark

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 pairwise 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.

Advanced/Intermediate Statistics

Montana State University

Libretexts

2025

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