Intermediate Statistics with R

Format:

Book

Author/Creator:

Greenwood, Mark C., author.

Language:

English

Subjects (All):

Mathematics--Textbooks.

Mathematics.

Applied mathematics--Textbooks.

Applied mathematics.

Physical Description:

1 online resource

Place of Publication:

Bozeman, Montana Montana State University [2021]

Language Note:

In English.

Summary:

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 is Version 3.0 of the book.

Contents:

1 Preface

2 (R)e-Introduction to statistics

3 One-Way ANOVA

4 Two-Way ANOVA

5 Chi-square tests

6 Correlation and Simple Linear Regression

7 Simple linear regression inference

8 Multiple linear regression

9 Case studies

Notes:

Description based on online resource