# Intermediate Statistics with R

by Mark C. Greenwood Join

### 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.

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

### Book Details

Title
Intermediate Statistics with R
Subject
Computer Science
Publisher
Montana State University
Published
2021
Pages
428
Edition
1
Language
English
PDF Size
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