xxiv, 512 pages : illustrations (some color) ; 26 cm
Includes bibliographical references and index.
PART I: YIPPEE! I'M IN STATISTICS
Chapter 1: Statistics or Sadistics? It's Up to You
PART II: WELCOME TO THE INTERESTING, USEFUL, FLEXIBLE, 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: ΣIGMA FREUD AND DESCRIPTIVE STATISTICS
Chapter 4: Computing and Understanding Averages: Means to an End
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: An Introduction to 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 V: SIGNIFICANTLY DIFFERENT: USING INFERENTIAL STATISTICS
Chapter 11: Significantly Significant: What It Means for You and Me
Chapter 12: The One-Sample z Test: Ony the Lonely
Chapter 13: t(eal) for Two: Test Between the Means of Different Groups
Chapter 14: t(eal) 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?
Chapter 18: Using Linear Regression: Predicting the Future
PART VI: MORE STATISTICS! MORE TOOLS! MORE FUN!
Chapter 19: Chi-Square and Some Other Nonparametric Test: What to Do When You're Not Normal
Chapter 20: Some Other (Important) Statiscal Procedures You Should Know About
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 10 (or More) Best (and Most Fun) Internet Sites for Statistical Stuff
Appendix G: The 10 Commandments of Data Collection
Appendix H: Glossary
Appendix I: The Reward
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 best-selling SPSS and Excel versions are joined by a text for use with the R software, 'Statistics for People Who (Think They) Hate Statistics Using R'. New co-author Leslie A. Shaw carries forward Salkind's signature humorous, personable, and informative approach as the text guides students in a grounding of statistical basics, R computing, and the application of statistics to research studies. The book covers various basic and advanced statistical procedures, from correlation and graph creation to analysis of variance, regression, nonparametric tests, and more.
Shaw, Leslie A., author.