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Statistics for People Who (Think They) Hate Statistics Using R - International Student Edition
International Student Edition
- Neil J. Salkind
- Leslie A. Shaw - Cornell University, USA
August 2019 | SAGE Publications, Inc
Neil J. Salkind’s best-selling Statistics for People Who (Think They) Hate Statistics has been helping ease student anxiety around an often intimidating subject since it first published in 2000. Now the bestselling SPSS and Excel versions are joined by a first edition of the text for use with the R software. New co-author Leslie A. Shaw carries forward Neil’s signature humorous, personable, and informative approach. The text guides students through various statistical procedures, beginning with descriptive statistics, correlation, and graphical representation of data, and ending with inferential techniques and analysis of variance.
Features and benefits:
- Lots of support for getting started with R: Included are two introductory chapters on R and on R Studio, plus an appendix on other R packages and resource sites.
- Step-by-step demonstrations of each statistical procedure in R: The authors show how to import the dataset, enter the syntax to run the test, and understand the output.
- Additional resources make it easy to transition to this text, and to R: Code and datasets are available on an accompanying website, which also includes screencast R tutorial videos for students, and PowerPoint slides and additional test questions for instructors.
Preface
Acknowledgements
About the Authors
Part I Yippee! I’m in Statistics
Chapter 1. Statistics or Sadistics? It’s Up to You
Part II Welcome to the Interesting, Flexible, Useful, Fun and (Very) Deep Worlds of R and RStudio
Chapter 2. Here’s Why We Love R and How to Get Started
Chapter 3. Using RStudio: Much Easier Than You Think
Part III Sigma Freud and Descriptive Statistics
Chapter 4. Means to an End: Computing and Understanding Averages
Chapter 5. Understanding Variability: Vive la Différence
Chapter 6. Creating Graphs: A Picture Really Is Worth a Thousand Words
Chapter 7. Computing Correlation Coefficients: Ice Cream and Crime
Chapter 8: Understanding Reliability and Validity: Just the Truth
Part IV Taking Chances for Fun and Profit
Chapter 9. Hypotheticals and You: Testing Your Questions
Chapter 10. Probability and Why It Counts: Fun with a Bell-Shaped Curve
Part IV Significantly Different: Using Inferential Statistics
Chapter 11. Significantly Significant: What It Means for You and Me
12. The One-Sample Z-Test: Only the Lonely
Chapter 13. t(ea) for Two: Tests Between the Means of Different Groups
14. t(ea) for Two (Again): Tests Between the Means of Related Groups
Chapter 15. Two Groups Too Many? Try Analysis of Variance
Chapter 16. Two Too Many Factors: Factorial Analysis of Variance—A Brief Introduction
Chapter 17. Testing Relationships Using the Correlation Coefficient: Cousins or Just Good Friends?
18. Using Linear Regression: Predicting the Future
Part VI More Statistics! More Tools! More Fun!
Chapter 19. Chi-Square and Some Other Nonparametric Tests: What to Do When You’re Not Normal
20. Some Other (Important) Statistical Procedures You Should Know About: A Statistical Software Sampler
Appendix A: More Fun Stuff with R and RStudio
Appendix B: Tables
Appendix C: Data Sets
Appendix D: Answers to Practice Questions
Appendix E: Math: Just the Basics
Appendix F: The Ten (or More) Best (and Most Fun) Internet Sites for Statistics Stuff
Appendix G: The Ten Commandments of Data Collection
Appendix H: Glossary
Appendix I: The Reward
Index
Supplements
Instructor Resource Site
edge.sagepub.com/salkindshaw
SAGE edge for instructors supports your teaching by making it easy to integrate quality content and create a rich learning environment for students with:
SAGE edge for instructors supports your teaching by making it easy to integrate quality content and create a rich learning environment for students with:
- a password-protected site for complete and protected access to all text-specific instructor resources;
- R syntax and data files are available for download and use with exercises in the book;
- test banks that provide a diverse range of ready-to-use options that save you time. You can also easily edit any question and/or insert your own personalized questions;
- multimedia content featuring original screencast tutorial videos that demonstrate setting up the data and running selected problems in R meet the learning needs of today’s media-savvy students and bring concepts to life; and
- editable, chapter-specific PowerPoint® slides that offer complete flexibility for creating a multimedia presentation for your course.
Student Study Site
SAGE edge for students enhances learning, it’s easy to use, and offers:
- an open-access site that makes it easy for students to maximize their study time, anywhere, anytime;
- R syntax and data files are available for download and use with exercises in the book;
- video resources that bring concepts to life, are tied to learning objectives, and are curated and produced exclusively for this text, featuring:
- Screencast tutorial videos demonstrate setting up the data and running selected problems in R
- eFlashcards that strengthen understanding of key terms and concepts; and
- eQuizzes that allow students to practice and assess how much they’ve learned and where they need to focus their attention.