Pt. I. Yippee! I'm in statistics. Statistics or sadistics? It's up to you -- pt. II. Sigma Freud and descriptive statistics. Means to an end: computing and understanding averages -- Vive la différence: understanding variability -- A picture really is worth a thousand words -- Ice cream and crime: correlation coefficients -- Just the truth: an introduction to understanding reliability and validity -- pt. III. Taking chances for fun and profit. Hypotheticals and you: testing your questions -- Are your curves normal? Probability and why it counts -- pt. IV. Significantly different: using inferential statistics. Significantly significant: what it means for you and me -- Only the lonely: the one-sample Z-test -- t(ea) for two: tests between the means of different groups -- t(ea) for two (again): tests between the means of related groups -- Two groups too many? Try analysis of variance -- Two too many factors: factorial analysis of variance -- a brief introduction -- Cousins or just good friends? Testing relationships using the correlation coefficient -- Predicting who'll win the super bowl: using linear regression -- What to do when you're not normal: chi-square and some other nonparametric tests -- Some other (important) statistical procedures you should know about -- A statistical software sampler -- pt. V. Ten things you'll want to know and remember -- The 10 (or more) best Internet sites for statistics stuff -- The 10 commandments of data collection.