# Probability and Statistics with R, Second Edition

### About the author

**María Dolores Ugarte** is a professor of statistics in the Department of Statistics and Operations Research at the Public University of Navarre (UPNA). She is an associate editor of *Statistical Modelling, TEST*, and *Computational Statistics and Data Analysis* and an editorial board member of *Spatial and Spatio-temporal Epidemiology*. She received a rating of "Excellent Teacher" from UPNA in 2008 and the INNOLEC Lectureship Award from Masaryk University in 2007. She earned a PhD in statistics from UPNA and completed her postdoctoral training in the Department of Mathematics and Statistics at Simon Fraser University.

**Ana F. Militino** is a professor of statistics at the Public University of Navarre. She is co-editor in chief of *TEST*, official journal of the Spanish Society of Statistics and Operations Research. She received the John Griffiths teaching award in 2011 and was a visiting researcher at Oxford University and Simon Fraser University. She earned a PhD in statistics from the University of Extremadura.

**Alan T. Arnholt** is a professor in the Department of Mathematical Sciences at Appalachian State University, where he has taught undergraduate and graduate statistics since 1993. He earned a PhD in applied statistics from the University of Northern Colorado.

*Cohesively Incorporates Statistical Theory with R Implementation*

Since the publication of the popular first edition of this comprehensive textbook, the contributed R packages on CRAN have increased from around 1,000 to over 6,000. Designed for an intermediate undergraduate course, **Probability and Statistics with R, Second Edition** explores how some of these new packages make analysis easier and more intuitive as well as create more visually pleasing graphs.

*New to the Second Edition*

- Improvements to existing examples, problems, concepts, data, and functions
- New examples and exercises that use the most modern functions
- Coverage probability of a confidence interval and model validation
- Highlighted R code for calculations and graph creation

*Gets Students Up to Date on Practical Statistical Topics*

Keeping pace with today’s statistical landscape, this textbook expands your students’ knowledge of the practice of statistics. It effectively links statistical concepts with R procedures, empowering students to solve a vast array of real statistical problems with R.

*Web Resources*

A supplementary website offers solutions to odd exercises and templates for homework assignments while the data sets and R functions are available on CRAN.

less967 pages; ISBN 9781466504400

Read online, or download in secure PDF format

Title: Probability and Statistics with R, Second Edition

Author: Maria Dolores Ugarte; Ana F. Militino; Alan T. Arnholt

- News
- Contents

### In the press

**Praise for the First Edition:**"This book covers a wide range of topics in both theoretical and applied statistics … Detailed executable codes and codes to generate the figures in each chapter are available online … nicely blend[s] mathematical statistics, statistical inference, statistical methods, and computational statistics using S language ... . Students or self-learners can learn some basic techniques for using R in statistical analysis on their way to learning about various topics in probability and statistics. This book also could serve as a wonderful stand-alone textbook in probability and statistics if the computational statistics portions are skipped."

—

*Technometrics*, May 2009

—

*The American Statistician*, February 2009

"… an impressive book … this is a good reference book with comprehensive coverage of the details of statistical analysis and application that the social researcher may need in their work. I would recommend it as a useful addition to the bookshelf."

—*Significance*, December 2008