# Probability and Statistics with R

Hardcover (Print)
\$98.70
(Save 5%)
Used and New from Other Sellers
Used and New from Other Sellers
from \$47.32
Usually ships in 1-2 business days
(Save 54%)
Other sellers (Hardcover)
• All (14) from \$47.32
• New (6) from \$95.52
• Used (8) from \$47.32

### Overview

Designed for an intermediate undergraduate course, Probability and Statistics with R shows students how to solve various statistical problems using both parametric and nonparametric techniques via the open source software R. It provides numerous real-world examples, carefully explained proofs, end-of-chapter problems, and illuminating graphs to facilitate hands-on learning.

Integrating theory with practice,
the text briefly introduces the syntax, structures, and functions of the S language, before covering important graphically and numerically descriptive methods. The next several chapters elucidate probability and random variables topics, including univariate and multivariate distributions. After exploring sampling distributions, the authors discuss point estimation, confidence intervals, hypothesis testing, and a wide range of nonparametric methods. With a focus on experimental design, the book also presents fixed- and random-effects models as well as randomized block and two-factor factorial designs. The final chapter describes simple and multiple regression analyses.

Demonstrating that R can be used as a powerful teaching aid, this comprehensive text presents extensive treatments of data analysis using parametric and nonparametric techniques. It effectively links statistical concepts with R procedures, enabling the application of the language to the vast world of statistics.

### Editorial Reviews

##### From the Publisher
… This book covers a wide range of topics in both theoretical and applied statistics … the authors list both R and S–PLUS commands and clearly note when a command is applicable only in either S–PLUS or R. Therefore, S–PLUS users also should find this book useful. Detailed executable codes and codes to generate the figures in each chapter are available online at http://www1.appstate.edu/~arnholta/PASWR/front.htm … 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, Vol. 51, No. 2

The book is comprehensive and well written. The notation is clear and the mathematical derivations behind nontrivial equations and computational implementations are carefully explained. Rather than presenting a collection of R scripts together with a summary of relevant theoretical results, this book offers a well-balanced mix of theory, examples and R code.
—Raquel Prado, University of California, Santa Cruz, The American Statistician, February 2009

… an impressive book … Overall, 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.
—Eirini Koutoumanou, University College London, Significance, December 2008

### Product Details

• ISBN-13: 9781584888918
• Publisher: Taylor & Francis
• Publication date: 4/9/2008
• Edition description: New Edition
• Pages: 728
• Product dimensions: 7.20 (w) x 10.00 (h) x 1.70 (d)

A Brief Introduction to S
The Basics of S
Using S
Data Sets
Data Manipulation
Probability Functions
Creating Functions
Programming Statements
Graphs
Exploring Data
What Is Statistics?
Data
Displaying Qualitative Data
Displaying Quantitative Data
Summary Measures of Location
Bivariate Data
Multivariate Data (Lattice and Trellis Graphs)
General Probability and Random Variables
Introduction
Counting Rules
Probability
Random Variables
Univariate Probability Distributions
Introduction
Discrete Univariate Distributions
Continuous Univariate Distributions
Multivariate Probability Distributions
Joint Distribution of Two Random Variables
Independent Random Variables
Several Random Variables
Conditional Distributions
Expected Values, Covariance, and Correlation
Multinomial Distribution
Bivariate Normal Distribution
Sampling and Sampling Distributions
Sampling
Parameters
Estimators
Sampling Distribution of the Sample Mean
Sampling Distribution for a Statistic from an Infinite Population
Sampling Distributions Associated with the Normal Distribution
Point Estimation
Introduction
Properties of Point Estimators
Point Estimation Techniques
Confidence Intervals
Introduction
Confidence Intervals for Population Means
Confidence Intervals for Population Variances
Confidence Intervals Based on Large Samples
Hypothesis Testing
Introduction
Type I and Type II Errors
Power Function
Uniformly Most Powerful Test
℘-Value or Critical Level
Tests of Significance
Hypothesis Tests for Population Means
Hypothesis Tests for Population Variances
Hypothesis Tests for Population Proportions
Nonparametric Methods
Introduction
Sign Test
Wilcoxon Signed-Rank Test
The Wilcoxon Rank-Sum or the Mann–Whitney U-Test
The Kruskal–Wallis Test
Friedman Test for Randomized Block Designs
Goodness-of-Fit Tests
Categorical Data Analysis
Nonparametric Bootstrapping
Permutation Tests
Experimental Design
Introduction
Fixed-Effects Model
Analysis of Variance (ANOVA) for the One-Way Fixed-Effects Model
Power and the Noncentral F Distribution
Checking Assumptions
Fixing Problems
Multiple Comparisons of Means
Other Comparisons among the Means
Summary of Comparisons of Means
Random-Effects Model (Variance Components Model)
Randomized Complete Block Design
Two-Factor Factorial Design
Regression
Introduction
Simple Linear Regression
Multiple Linear Regression
Ordinary Least Squares
Properties of the Fitted Regression Line
Using Matrix Notation with Ordinary Least Squares
The Method of Maximum Likelihood
The Sampling Distribution of β
ANOVA Approach to Regression
General Linear Hypothesis
Model Selection and Validation
Interpreting a Logarithmically Transformed Model
Qualitative Predictors
Estimation of the Mean Response for New Values Xh
Prediction and Sampling Distribution of New Observations Yh(new)
Simultaneous Confidence Intervals
Appendix A: S Commands
Appendix B: Quadratic Forms and Random Vectors and Matrices
Random Vectors and Matrices
Variance of Random Vectors
References
Index
Problems appear at the end of each chapter.

## Customer Reviews

Be the first to write a review
( 0 )
Rating Distribution

(0)

(0)

(0)

(0)

### 1 Star

(0)

Your Name: Create a Pen Name or

### Barnes & Noble.com Review Rules

Our reader reviews allow you to share your comments on titles you liked, or didn't, with others. By submitting an online review, you are representing to Barnes & Noble.com that all information contained in your review is original and accurate in all respects, and that the submission of such content by you and the posting of such content by Barnes & Noble.com does not and will not violate the rights of any third party. Please follow the rules below to help ensure that your review can be posted.

### Reviews by Our Customers Under the Age of 13

We highly value and respect everyone's opinion concerning the titles we offer. However, we cannot allow persons under the age of 13 to have accounts at BN.com or to post customer reviews. Please see our Terms of Use for more details.

### What to exclude from your review:

Please do not write about reviews, commentary, or information posted on the product page. If you see any errors in the information on the product page, please send us an email.

### Reviews should not contain any of the following:

• - HTML tags, profanity, obscenities, vulgarities, or comments that defame anyone
• - Time-sensitive information such as tour dates, signings, lectures, etc.
• - Single-word reviews. Other people will read your review to discover why you liked or didn't like the title. Be descriptive.
• - Comments focusing on the author or that may ruin the ending for others
• - Phone numbers, addresses, URLs
• - Pricing and availability information or alternative ordering information

### Reminder:

• - By submitting a review, you grant to Barnes & Noble.com and its sublicensees the royalty-free, perpetual, irrevocable right and license to use the review in accordance with the Barnes & Noble.com Terms of Use.
• - Barnes & Noble.com reserves the right not to post any review -- particularly those that do not follow the terms and conditions of these Rules. Barnes & Noble.com also reserves the right to remove any review at any time without notice.
Search for Products You'd Like to Recommend

### Recommend other products that relate to your review. Just search for them below and share!

Create a Pen Name

Your Pen Name is your unique identity on BN.com. It will appear on the reviews you write and other website activities. Your Pen Name cannot be edited, changed or deleted once submitted.

Your Pen Name can be any combination of alphanumeric characters (plus - and _), and must be at least two characters long.

Continue Anonymously
Sort by: Showing all of 2 Customer Reviews
• Anonymous

Posted February 15, 2010

No text was provided for this review.

• Anonymous

Posted April 20, 2010

No text was provided for this review.

Sort by: Showing all of 2 Customer Reviews

If you find inappropriate content, please report it to Barnes & Noble
Why is this product inappropriate?