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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.

The easy way to get down with statistics Stymied by statistics? Fear not! In easy-to-understand terms, this friendly guide shows you how to collect, graph, and critique data; decipher distributions; calculate confidence intervals and hypothesis tests; analyze data with correlation, regression, and two-way tables; and much more. * The world of statistics -- get a handle on the quantity and quality of statistics you encounter in everyday life * Get the big picture -- explore data using graphs and charts and describe data using means, medians, standard scores, percentiles, and more * Results may vary -- understand common statistical distributions and find out how to work with random variables, standard error, the Central Limit Theorem, and more * Guesstimate with confidence -- use standard error, confidence intervals, and hypothesis tests to make conclusions about a population * Dig into statistical studies and their analyses -- get the scoop on polls, experiments, correlation, linear regression, two-way tables, and independence Open the book and find: * PlainEnglish explanations of statistical jargon * Information on organizing, graphing, and critiquing data * The 411 on random variables; the binomial, normal, t-, and sampling distributions; and the Central Limit Theorem * Pointers for conducting, interpreting, and critiquing polls and experiments * Data analysis tools for regression, confidence intervals, hypothesis tests, and two-way tables * Plenty of examples and figures to illustrate important concepts and methods Learn to: * Grasp statistical ideas, techniques, formulas, and calculations * Interpret and critique graphs and charts, determine probability, and work with confidence intervals * Critique and analyze data from polls and experiments