Understanding Statistics Using R - Tapa dura

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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. 

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<p>This book was written to provide resource materials for teachers to use in their introductory or intermediate statistics class.&nbsp; The&nbsp; 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.&nbsp; 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.&nbsp; The chapters contain T/F quizzes to test basic knowledge of the topics covered.&nbsp; In addition, the book chapters contain numerous exercises with answers or solutions to the exercises provided.&nbsp; The chapter exercises reinforce an understanding of the statistical concepts presented in the chapters.&nbsp; 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.</p><p>This book uses the R statistical package which contains an extensive library of functions. &nbsp;The R software is free and easily downloaded and installed.&nbsp; The R programs are run in the R Studio software which is a graphical user interface for Windows. The R Studio software makes accessing R programs, viewing output from the exercises, and graphical displays easier to manage.&nbsp; The first chapter of the book covers the fundamentals of the R statistical package.&nbsp; This includes installation of R and R Studio, accessing R packages and libraries of functions.&nbsp; The chapter also covers how to access manuals and technical documentation, as well as, basic R commands used in the R script programs in the chapters.&nbsp; This chapter is important for the instructor to master so that the software can be installed and the R script programs run.&nbsp; The R software is free so students can also install the software and run the R script programs in the chapters. &nbsp;&nbsp;Teachers and students can run the R software on university computers, at home, or on laptop computers making it more available than many commercial software packages. </p><p>&nbsp;</p><p>"As a professor who teaches research methods and advises master and doctoral students, I am often seeking practical resource materials that students can use in their research.&nbsp; This book provides easy to run R examples that allow students to pick and choose content that is relevant to their research. When students learn that the cost for running R is free, they are especially happy!"</p><p>&nbsp;</p><p><b>- Kim Nimon, University of North Texas &nbsp;</b></p><p>&nbsp; </p><p>"The authors have done a great job of providing resource materials an instructor can use when teaching a statistics course.&nbsp; Strengths of the book are the inclusion of R code, the addition of more than 60 script programs, and the online exercise materials for students.&nbsp; This book reflects the growing use of the mobile R software program for students who may not always have access to other statistical software packages housed on computers in a campus-based lab."</p><p><b>- David Walker, Northern Illinois University</b>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </p>