**by Mark C. Greenwood**

DescriptionTable of ContentsDetailsHashtagsReport an issue ### 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. ### Table of Contents

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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).

Chapter 1

Preface

Chapter 2

(R)e-Introduction to statistics

Chapter 3

One-Way ANOVA

Chapter 4

Two-Way ANOVA

Chapter 5

Chi-square tests

Chapter 6

Correlation and Simple Linear Regression

Chapter 7

Simple linear regression inference

Chapter 8

Multiple linear regression

Chapter 9

Case studies

Title

Intermediate Statistics with R

Subject

Computer Science

Publisher

Montana State University

Published

2021

Pages

428

Edition

1

Language

English

PDF Size

7.8 MB

License

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