Statistics for people who (think they) hate statistics /
Salkind, Neil J.
Los Angeles, Calif. ; London : SAGE Publications,
c2013.
Includes index.
A note to the student: why i wrote this book -- Yippee! : i'm in statistics -- Statistics or sadistics? : it's up to you -- All you need to know about formulas and functions -- Sigma freud and descriptive statistics -- Computing and understanding averages : means to an end -- 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 -- 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 -- 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 -- Things you?ll want to know and remember -- The ten (or more) best (and most fun) internet sites for statistics stuff -- The ten commandments of data collection -- Appendix A: Excel-erate your learning : all you need to know about excel -- Appendix B: Tables -- Appendix C: The data sets -- Appendix D: The reward : the brownie recipe -- Glossary -- Index -- About the author.
Includes bibliographical references and index.
Microsoft Excel (Computer file)
Statistics.