Statistics for people who (think they) hate statistics using R / Neil J. Salkind and Leslie A. Shaw.

Includes bibliographical references and index.

Part I. Yippee! I'm in statistics -- Statistics or sadistics? It's up to you! -- Part II. Welcome to the interesting, useful, flexible, fun, and (very) deep worlds of R and RStudio -- Using RStudio: much easier than you think -- Part III. Sigma Freud and descriptive statistics -- Computing and understanding averages: means to an end -- Understanding variablity: Vive la Difference -- Creating graphs: a picture really is worth a thousand words -- Computing correlation coefficients: ice cream and crime -- An introduction to understanding reliability and validity: just the truth -- Part IV. Taking chances for fund and profit -- Probability and why it counts: fun with a bell-shaped curve -- Part V. Significantly different: using inferential statistics -- Significantly significant: what it means for you and me -- The one-sample Z Test: only the lonely -- 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 -- Testing relationships using the correlation coefficient: cousins or just good friends? -- Using linear regression: predicting the future -- Part VI. More statustics! More tools! More fun! -- Chi-square and some other nonparametric tests: what to do when you're not normal -- Some other (important) statistical procedures you should know about.