Understanding Statistics Using R [Paperback]

This book was written to provide resource materials for teachers to use in their introductory or intermediate statistics class. The  chapter content is ordered along the lines of many popular statistics books so it should be easy to supplement the content and exercises with class lecture materials. 

The book contains R script programs to demonstrate important topics and concepts covered in a statistics course, including probability, random sampling, population distribution types, role of the Central Limit Theorem, creation of sampling distributions for statistics, and more. The chapters contain T/F quizzes to test basic knowledge of the topics covered. In addition, the book chapters contain numerous exercises with answers or solutions to the exercises provided.  The chapter exercises reinforce an understanding of the statistical concepts presented in the chapters. An instructor can select any of the supplemental materials to enhance lectures and/or provide additional coverage of concepts and topics in their statistics book.

R Fundamentals.- Probability.- Statistical Theory.- Frequency Distributions.- Central Tendency and Dispersion.- Statistical Distributions.- Hypothesis Testing.- Chi-Square Test.- z-test.- t-test.- F-test.- Correlation.- Linear Regression.- Replication of Results.- Synthesis of Findings.- Glossary.- Appendix.- Author Index.- Subject Index.

From the reviews:

The code is arranged by chapter. It is easy and straight forward to run the code. The chapters have lots of exercises. This is a good book to learn both statistics and R. (Cats and Dogs with Data, maryannedata.com, March, 2014)

This book is organized in lCš