Probability and Statistics with R, Second Edition

Maria Dolores Ugarte, Ana F. Militino, Alan T. Arnholt

July 21, 2015 by Chapman and Hall/CRC
Textbook - 983 Pages - 263 B/W Illustrations
ISBN 9781466504394 - CAT# K14521

USD$99.00

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Features

  • Presents extensive treatments of data analysis using parametric and nonparametric techniques, including bootstrap
  • Explains the design of experiments and regression analysis
  • Shows students how to use readily available data from numerous sites
  • Contains many real-world examples, case studies, worked-out derivations, and detailed graphs that facilitate hands-on comprehension
  • Includes end-of-chapter exercises that teach students how to solve problems by hand and using R
  • Provides the PASWR2 package of data sets and functions on CRAN
  • Offers solutions to odd numbered exercises and templates for homework assignments on a supplementary website

A solutions manual and figure slides are available upon qualifying course adoption.

Summary

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.

Instructors

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