Statistics for People Who (Think They) Hate Statistics

Part I: Yippee! I'm in StatisticsChapter 1: Statistics or Sadistics? It's Up to YouPart II: Sigma Freud and Descriptive StatisticsChapter 2: Means to an End: Computing and Understanding AveragesChapter 3: Vive la Différence: Understanding VariabilityChapter 4: A Picture Really Is Worth a Thousand WordsChapter 5: Ice Cream and Crime: Computing Correlation CoefficientsChapter 6: Just the Truth: An Introduction to Understanding Reliability and ValidityPart III: Taking Chances for Fun and ProfitChapter 7: Hypotheticals and You: Testing Your QuestionsChapter 8: Are Your Curves Normal? Probability and Why It CountsPart IV: Significantly Different: Using Inferential StatisticsChapter 9: Significantly Significant: What It Means for You and MeChapter 10: t(ea) for Two: Tests Between the Means of Different GroupsChapter 11: t(ea) for Two (Again): Tests Between the Means of Related GroupsChapter 12: Two Groups Too Many? Try Analysis of VarianceChapter 13: Two Too Many Factors: Factorial Analysis of VarianceChapter 14: Cousins or Just Friends? Testing Relationships Using the Correlation CoefficientChapter 15: Predicting Who'll Win the Super Bowl: Using linear RegressionChapter 16: What to Do When You're Not Normal: Chi-Square and Some other Nonparametric TestsChapter 17: Some Other (Important) Statistical Procedures You Should Know AboutChapter 18: A Statistical Software SamplerPart V: Ten Things You'll Want to Know and RememberChapter 19: The Ten Best Internet Sites for Statistics StuffChapter 20: The Ten Commandments of Data CollectionAppendix A: SPSS in Less Than 30 MinutesAppendix B: TablesAppendix C: Data SetsAppendix D: Your Reward: The Brownie RecipeGlossaryIndex

Neil J. Salkind is Professor Emeritus at the University of Kansas, where he taught in the Department of Educational Psychology for more than 35 years. His interest is in writing about statistics and research methods in an informative, nonintimidating and noncondescending way. He is also the author of Statistics for People Who (Think They) Hate Statistics, Statistics for People Who (Think They) Hate Statistics (the Excel Edition), Excel Statistics - a Quick Guide, and the recently edited Encyclopedia of Research Design.