InhaltsangabeIntroduction. Part I: Vital Statistics about Statistics. Chapter 1: Statistics in a Nutshell. Chapter 2: The Statistics of Everyday Life. Chapter 3: Taking Control: So Many Numbers, So Little Time. Chapter 4: Tools of the Trade. Part II: Number-Crunching Basics. Chapter 5: Means, Medians, and More. Chapter 6: Getting the Picture: Graphing Categorical Data. Chapter 7: Going by the Numbers: Graphing Numerical Data. Part III: Distributions and the Central Limit Theorem. Chapter 8: Random Variables and the Binomial Distribution. Chapter 9: The Normal Distribution. Chapter 10: The t-Distribution. Chapter 11: Sampling Distributions and the Central Limit Theorem. Part IV: Guesstimating and Hypothesizing with Confidence. Chapter 12: Leaving Room for a Margin of Error. Chapter 13: Confi dence Intervals: Making Your Best Guesstimate. Chapter 14: Claims, Tests, and Conclusions. Chapter 15: Commonly Used Hypothesis Tests: Formulas and Examples. Part V: Statistical Studies and the Hunt for a Meaningful Relationship. Chapter 16: Polls, Polls, and More Polls. Chapter 17: Experiments: Medical Breakthroughs or Misleading Results? Chapter 18: Looking for Links: Correlation and Regression. Chapter 19: Two-Way Tables and Independence. Part VI: The Part of Tens. Chapter 20: Ten Tips for the Statistically Savvy Sleuth. Chapter 21: Ten Surefi re Exam Score Boosters. Appendix: Tables for Reference. Index.

Deborah J. Rumsey, PhD, is a professor of statistics and the director of the Mathematics and Statistics Learning Center at The Ohio State University. She is the author of Statistics Workbook For Dummies, Statistics II For Dummies, and Probability For Dummies.

Leseprobe

Introduction. Part I: Vital Statistics about Statistics. Chapter 1: Statistics in a Nutshell. Chapter 2: The Statistics of Everyday Life. Chapter 3: Taking Control: So Many Numbers, So Little Time. Chapter 4: Tools of the Trade. Part II: Number-Crunching Basics. Chapter 5: Means, Medians, and More. Chapter 6: Getting the Picture: Graphing Categorical Data. Chapter 7: Going by the Numbers: Graphing Numerical Data. Part III: Distributions and the Central Limit Theorem. Chapter 8: Random Variables and the Binomial Distribution. Chapter 9: The Normal Distribution. Chapter 10: The t-Distribution. Chapter 11: Sampling Distributions and the Central Limit Theorem. Part IV: Guesstimating and Hypothesizing with Confidence. Chapter 12: Leaving Room for a Margin of Error. Chapter 13: Confi dence Intervals: Making Your Best Guesstimate. Chapter 14: Claims, Tests, and Conclusions. Chapter 15: Commonly Used Hypothesis Tests: Formulas and Examples. Part V: Statistical Studies and the Hunt for a Meaningful Relationship. Chapter 16: Polls, Polls, and More Polls. Chapter 17: Experiments: Medical Breakthroughs or Misleading Results? Chapter 18: Looking for Links: Correlation and Regression. Chapter 19: Two-Way Tables and Independence. Part VI: The Part of Tens. Chapter 20: Ten Tips for the Statistically Savvy Sleuth. Chapter 21: Ten Surefi re Exam Score Boosters. Appendix: Tables for Reference. Index.