Title Page -- Copyright Page -- Contents -- Preface -- Chapter 1 Introduction: It Seemed Like the Right Thing To Do at the Time -- WHEN GOOD STATISTICS GO BAD: COMMON MISTAKES AND THE IMPACT THEY HAVE -- STATISTICS 101: CONCEPTS YOU SHOULD KNOW BEFORE READING THIS BOOK -- Probability Theory -- Statistics -- TIPS, TRICKS, AND TECHNIQUES: A ROADMAP OF WHAT FOLLOWS -- BIBLIOGRAPHY -- Chapter 2 The Type A Diet: Sampling Strategies to Eliminate Confounding and Reduce Your Waistline -- THE BASICS OF PLANNING A STUDY -- MY STATISTICAL ANALYSIS IS BRILLIANT. WHY ARE MY CONCLUSIONS SO WRONG? -- Answering the Wrong Question -- Putting Too Much Confidence in Convenience Data -- Confusing Association and Causation -- REPLICATION, RANDOMIZATION, AND BLOCKING: THE BUILDING BLOCKS A GOOD STUDY -- EXPLORATORY RESEARCH: GETTING YOUR STUDIES INTO FOCUS -- DESCRIPTIVE AND EXPLANATORY RESEARCH: ANSWERING THE TARGETED QUESTIONS -- Controlled Experiments: The Art of Manipulation -- Observational Studies: Scientifically Approved Voyeurism -- SO MANY STRATEGIES, SO LITTLE TIME -- BIBLIOGRAPHY -- Chapter 3 Conservatives, Liberals, and Other Political Pawns: How to Gain Power and Influence with Sample Size Calculations -- STEP 1. KEEP YOUR FINGER ON THE PULSE OF THE POPULACE -- STEP 2. AVOID AMBIGUOUS RESULTS AND OTHER POLITICAL POTHOLES -- Identify the Data Analysis Technique You Will Be Performing -- Know the Difference Between Practical Significance and Statistical Significance -- Note Your Practical Limitations -- STEP 3. LET SAMPLE-SIZE CALCULATIONS BE YOUR RIGHT-HAND MAN -- Population Means and Probabilities: Sample-Size Calculations for a Confidence Interval -- Power and Sample-Size Calculations for Hypothesis Tests -- STEP 4. KEEP YOUR FRIENDS CLOSE AND YOUR ENEMIES CLOSER -- BIBLIOGRAPHY.

Chapter 4 Bunco, Bricks, and Marked Cards: Chi-Squared Tests and How to Beat a Cheater -- WHAT HAPPENS IN VEGAS … HOW STATISTICIANS REMAIN DISCRETE -- CONTINGENCY TABLES, CHI-SQUARED TESTS, AND OTHER WINNING STRATEGIES FOR DISCRETE DATA ANALYSIS -- Turning Lemons into Gold Bars: How to Convert Qualitative Data into Quantitative Random Variables -- Plots and Tables: The Poor Man's Statistical Analysis -- Contingency Tables: How to Break Down a Frequency Distribution and Expose Your Variables -- The Chi-Squared Test: An All-You-Can-Eat Buffet for Discrete Data Analysis -- HOW TO BEAT A CHEATER -- BIBLIOGRAPHY -- Chapter 5 WHY IT PAYS TO BE A STABLE MASTER: SUMO WRESTLERS AND OTHER ROBUST STATISTICS -- DESCRIPTIVE STATISTICS: A REVIEW FOR THE JONOKUCHI -- Three Things You Should Know About the Sample Mean -- Three Things You Should Know about the Standard Deviation -- THE JAPANESE SUMO INVASION: WHY IT PAYS TO BE ROBUST -- Summarizing a Sample with Percentiles -- Robust Center Location -- Robust and Resistant Variation -- Robust Confidence Intervals -- WHEN ROBUST DOES IT BETTER -- HARVESTING THE AMERICAN DREAM -- BIBLIOGRAPHY -- Chapter 6 Five-Hour Marriages: Continuous Distributions, Tests for Normality, and Juicy Hollywood Scandals -- THE NORMAL DISTRIBUTION: THE MOST ORDINARY OF ALL PROBABILITY DISTRIBUTIONS -- NORMALITY TESTS EVERY DATA ANALYST SHOULD KNOW -- Q-Q Plots: A Picture Is Worth a Thousand Words -- Hypothesis Tests for Normality -- DATA TRANSFORMATIONS AND OTHER STRATEGIES FOR COPING WITH NON‐NORMAL DATA -- THERE'S NORMAL, AND THEN THERE'S HOLLYWOOD NORMAL -- BIBLIOGRAPHY -- Chapter 7 Believe It or Don't: Using Outlier Detection to Find the Weirdest of the Weird -- THE WORLD OF THE WEIRD -- OUTLIER AND ANOMALY DETECTION: KNOWING AN ODDITY WHEN YOU SEE ONE -- z-scores, Not Just for t-Tests Anymore.

The Interquartile Range Test for Robust Outlier Detection -- Grubbs' Test: An Exact Test for Finding Outliers -- SO, YOU'VE FOUND AN ODDITY. WHAT NOW? -- THE WEIRDEST OF THE WEIRD -- BIBLIOGRAPHY -- Chapter 8 The Battle of the Movie Monsters, Round Two: Ramping Up Hypothesis Tests with Nonparametric Statistics -- THE PARAMETRIC HYPOTHESIS TEST: A CONVENTIONAL WEAPON FOR CONVENTIONAL BATTLES -- NONPARAMETRIC TESTS: WHEN YOU NEED TO EXERCISE THE NUCLEAR OPTION -- The Sign Test -- The Sign Test for Paired Data -- Wilcoxon Signed Rank Test -- Kruskal-Wallis -- WHEN TO USE THE NUCLEAR OPTION -- GODZILLA VERSUS KING KONG, ROUND TWO -- BIBLIOGRAPHY -- Chapter 9 Models, Murphy's Law, and Public Humiliation: Regression Rules to Live By -- MURPHY'S LAW AND SIMPLE LINEAR REGRESSION: A REVIEW OF TWO CLASSICS -- Basic Regression Diagnostics -- BEYOND SIMPLE LINEAR REGRESSION: COMMON MODELS FOR COMMON SITUATIONS -- Multiple Linear Regression -- Polynomial Regression -- Stepwise Regression -- Multivariate Regression -- Nonlinear Regression -- MISTAKES AND OTHER EMBARRASSMENTS TO AVOID -- WHAT COULD GO WRONG, DID GO WRONG -- WHAT I DID -- What I Should've Done -- BIBLIOGRAPHY -- Appendix A: Critical Values for the Standard Normal Distribution -- Appendix B: Critical Values for the T-Distribution -- Appendix C: Critical Values for the Chi-Squared Distribution -- Appendix D: Critical Values for Grubbs' Test -- Appendix E: Critical Values for Wilcoxson Signed Rank Test: Small Sample Sizes -- Glossary -- Index -- EULA.