Statistics for people who (think they) hate statistics / Neil J. Salkind.

Includes bibliographical references and index.

Statistics of sadistics? It's up to you -- Means to an end: computing and understanding averages -- Vive la difference: understanding variability -- A picture really is worth a thousand words -- Ice cream and crime: computing correlation coefficients -- Just the truth: an introduction to understanding reliability and validity -- Hypotheticals and you: testing your questions -- Are your curves normal? Probability and why it counts -- Significantly significant: what it means for you and me -- 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 -- 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 -- The ten (or more) best Internet sites for statistics stuff -- The ten commandments of data collection -- Glossary.