Understanding Statistics Using R, 2013

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.

Randall E. Schumacker is Professor of Educational Research in the Department of Educational Studies in Psychology, Research Methodology & Counseling at the University of Alabama, USA.

Sara Tomek is Assistant Professor of Educational Research in the Department of Educational Studies in Psychology, Research Methodology & Counseling at the University of Alabama, USA. 

Provides strong fundamental Background in statistics and probability through simulation exercises

Perfect resource for advanced undergraduates and professionals. Anyone who has at least taken one course with experience/knowledge in linear regression

R software code utilized throughout for assessment and interpretation of data and data mining exercises ?

Includes supplementary material: sn.pub/extras

Request lecturer material: sn.pub/lecturer-material