This text teaches an often intimidating and difficult subject in a way that is informative, personable, and clear. The author takes students through various statistical procedures, beginning with correlation and graphical representation of data and ending with inferential techniques and analysis of variance. In addition, the text covers SPSS, and includes reviews of more advanced techniques, such as reliability, validity, introductory non-parametric statistics, and more. Pedagogical features include sidebars offering additional technical information about the topics presented and points that reinforce major themes in the book. This new edition also includes more examples than ever before, an expanded set of exercises at the end of each chapter, and a more comprehensive glossary. The book gives updated examples from a variety of disciplines, and more of them than ever before; contains more Time to Practice exercises, with answers in the back of the book; presents additional coverage of general research methods basics; and includes expanded coverage of power. The book divides into five parts and 20 chapters. Part I, Yippee! I'm in Statistics, comprises chapter: (1) Statistics or Sadistics? It's Up to You. Part II, Sigma Freud and Descriptive Statistics, contains chapters: (2) Means to an End: Computing and Understanding Averages; (3) Vive la Difference: Understanding Variability; (4) A Picture Really Is Worth a Thousand Words; (5) Ice Cream and Crime: Computing Correlation Coefficients; and (6) Just the Truth: An Introduction to Understanding Reliability and Validity. Part III, Taking Chances for Fun and Profit, contains chapters: (7) Hypotheticals and You: Testing Your Questions; and (8) Are Your Curves Normal? Probability and Why It Counts. Part IV: Significantly Different: Using Inferential Statistics, contains chapters: (9) Significantly Significant: What It Means for You and Me; (10) t(ea) for Two: Tests between the Means of Different Groups; (11) t(ea) for Two (Again): Tests between the Means of Related Groups; (12) Two Groups Too Many? Try Analysis of Variance; (13) Two Too Many Factors: Factorial Analysis of Variance; (14) Cousins or Just Good Friends? Testing Relationships Using the Correlation Coefficient; (15) Predicting Who'll Win the Super Bowl: Using Linear Regression; (16) What to Do When You're Not Normal: Chi-Square and Some Other Nonparametric Tests; (17) Some Other (Important) Statistical Procedures You Should Know About; and (18) A Statistical Software Sampler. Part V, Ten Things You'll Want to Know and Remember, contains chapters: (19) The Ten (or More) Best Internet Sites for Statistics Stuff; and (20) The Ten Commandments of Data Collection. Appended are: (A) SPSS in Less Than 30 Minutes; (B) Tables; (C) Data Sets; and (D) Answers to Practice Questions. The book also includes a glossary, an index. An Instructor's Resource CD (ISBN: 978-1-4129-5152-4) is available to qualified adopters of the text. A companion web site also offers additional resources.