
Statistics for People Who (Think They) Hate Statistics Using R
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Statistics for People Who (Think They) Hate Statistics Using R
About this book
Neil J. Salkind's bestselling 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 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 and 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, non-parametric tests, and more. Â
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Information
Table of contents
- Cover
- Half Title
- Acknowledgements
- Title Page
- Copyright Page
- Brief Contents
- Detailed Contents
- Preface
- Acknowledgments
- About the Authors
- Digital Resources
- Part I Yippee! I’m in Statistics
- 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
- 2 Here’s Why We Love R and How to Get Started
- 3 Using RStudio Much Easier Than You Think
- Part III Σigma Freud and Descriptive Statistics
- 4 Computing and Understanding Averages Means to an End
- 5 Understanding Variability Vive la Différence
- 6 Creating Graphs A Picture Really Is Worth a Thousand Words
- 7 Computing Correlation Coefficients Ice Cream and Crime
- 8 An Introduction to Understanding Reliability and Validity Just the Truth
- Part IV Taking Chances for Fun and Profit
- 9 Hypotheticals and You Testing Your Questions
- 10 Probability and Why It Counts Fun With a Bell-Shaped Curve
- Part V Significantly Different Using Inferential Statistics
- 11 Significantly Significant What It Means for You and Me
- 12 The One-Sample z Test Only the Lonely
- 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
- 15 Two Groups Too Many? Try Analysis of Variance
- 16 Two Too Many Factors Factorial Analysis of Variance—A Brief Introduction
- 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!
- 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
- 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 Statistics Stuff
- Appendix G The 10 Commandments of Data Collection
- Appendix H Glossary
- Appendix I The Reward The Brownie Recipe
- Index