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

Revised edition of the author's Statistics for people who (think they) hate statistics, 2014.

Includes bibliographical references and index.

A note to the student: why I wrote this book -- About the author -- Yippee! I'm in statistics -- Statistics or sadistics? : it's up to you -- Zigma Freud and descriptive statistics -- 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 : correlation coefficients -- Just the truth : an introduction to understanding reliability and validity -- Taking chances for fun and profit -- Hypotheticals and you : testing your questions -- Are your curves normal? : probability and why it counts -- 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 -- Big data (tentative title) -- 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 -- 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 -- Appendix a: spss in less than 30 minutes -- Appendix b: tables -- Appendix c: data sets -- Appendix d: answers to practice questions -- Appendix e: math: just the basics -- Glossary -- Index.