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Learning Statistics Using R
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Learning Statistics Using R

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April 2014 | 648 pages | SAGE Publications, Inc

Providing easy-to-use R script programs that teach descriptive statistics, graphing, and other statistical methods, Learning Statistics Using R shows readers how to run and utilize R, a free integrated statistical suite that has an extensive library of functions.

Lecturers - contact your local SAGE representative to discuss your course needs or to request an inspection copy.

Randall E. Schumacker’s comprehensive book describes in detail the processing of variables in statistical procedures. Covering a wide range of topics, from probability and sampling distribution to statistical theorems and chi-square, this introductory book helps readers learn not only how to use formulae to calculate statistics, but also how specific statistics fit into the overall research process.

Learning Statistics Using R covers data input from vectors, arrays, matrices and data frames, as well as the input of data sets from SPSS, SAS, STATA and other software packages. Schumacker’s text provides the freedom to effectively calculate, manipulate, and graphically display data, using R, on different computer operating systems without the expense of commercial software. Learning Statistics Using R places statistics within the framework of conducting research, where statistical research hypotheses can be directly addressed. Each chapter includes discussion and explanations, tables and graphs, and R functions and outputs to enrich readers' understanding of statistics through statistical computing and modeling.

 
PART I. Introduction and Background
 
1. R Basics
 
2. Research Methods
 
3. Probability
 
4. Sampling and Populations
 
PART II. Statistical Theory and Inference
 
5. Central Limit Theorem
 
6. Sampling Distributions
 
7. Statistical Distributions
 
PART III. Descriptive Methods
 
8. Graphing Data
 
9. Central Tendency and Dispersion
 
PART IV. Statistical Methods
 
10. Hypothesis Testing
 
11. Chi-Square Test for Categorical Data
 
12. z Test for Differences in Proportions
 
13. t Test for Mean Differences (2 groups)
 
14. F Test for Mean Differences (3 or more groups)
 
15. Correlation Tests of Association
 
16. Linear Regression Tests of Prediction
 
17. Multiple Regression
 
18. Logistic Regression
 
19. Loglinear Regression
 
PART V. Replication and Validation of Research Findings
 
20. Replication of Statistical Tests
 
21. Synthesis of Research Findings
 
Glossary of Terms
 
Glossary of Packages, Functions, and Commands Used in Book
 
Statistical Tables
 
Guide for Selecting a Statistical Test

Supplements

Instructor Resource Site

Calling all instructors!
It’s easy to log on to SAGE’s password-protected Instructor Teaching Site at www.sagepub.com/schumacker for complete and protected access to all text-specific Instructor Resources for Learning Statistics Using R. Simply provide your institutional information for verification and within 72 hours you’ll be able to use your login information for any SAGE title!

Password-protected Instructor Resources include the following:

  • A Microsoft® Word® test bank is available containing multiple choice, true/false, short answer, and essay questions for each chapter. The test bank provides you with a diverse range of pre-written options as well as the opportunity for editing any question and/or inserting your own personalized questions to effectively assess students’ progress and understanding.
  • A Respondus electronic test bank is available and can be used on PCs. The test bank contains multiple choice, true/false, short answer, and essay questions for each chapter and provides you with a diverse range of pre-written options as well as the opportunity for editing any question and/or inserting your own personalized questions to effectively assess students’ progress and understanding. Respondus is also compatible with many popular learning management systems so you can easily get your test questions into your online course.
  • Editable, chapter-specific Microsoft® PowerPoint® slides offer you complete flexibility in easily creating a multimedia presentation for your course. Highlight essential content, features, and artwork from the book.
  • The Instructor Teaching Site includes complete answers to all in-text questions.
  • Data sets are available for practice exercises.
  • EXCLUSIVE! Access to certain full-text SAGE journal articles that have been carefully selected for each chapter. Each article supports and expands on the concepts presented in the chapter. This feature also provides questions to focus and guide student interpretation. Combine cutting-edge academic journal scholarship with the topics in your course for a robust classroom experience.
  • Lecture notes summarize key concepts on a chapter-by-chapter basis to help with preparation for lectures and class discussions.
Student Study Site
Use the Student Study Site to get the most out of your course!

The open-access Student Study Site at www.sagepub.com/schumacker includes the following:

  • Mobile-friendly eFlashcards reinforce understanding of key terms and concepts that have been outlined in the chapters.
  • Mobile-friendly web quizzes allow for independent assessment of progress made in learning course material.

This book provides a very good introduction to stats with worked examples in R. It would work well as the primary source for a first course on stats or - as is my case -as a cheap and straight forward self-contained self-learning text for students switching to R from other statistical packages. I am very likely to use this book for other courses also. It stacks to very well against the many other introductory statistics texts in R that I have seen.

Professor Laust Mortensen
Department of Public Health, University of Copenhagen
April 24, 2014

Book did not offer the information our college is looking for

Professor Helen Green
Social Behavioral Science Div, Cuyahoga Cmty College-Metro
April 17, 2014

The School of Education department is currently still using SPSS as the primary statistical software. But, in a future this would be a good textbook to adopt.

Professor Ivana Fredotovic
Mathematics Computer Sci Dept, Barry University-Miami
April 9, 2014

This is a great book

Dr Terrence Warburton
April 9, 2014
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ISBN: 9781452286297
£70.00

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