Statistics for people who (think they) hate statistics [Book] : Excel 2010 edition / Neil J. Salkind.

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.

The bestselling text Statistics for People Who (Think They) Hate Statistics is the basis for this completely adapted Excel 2010 version. Author Neil J. Salkind presents an often intimidating and difficult subject in a way that is informative, personable, and clear. Researchers and students who find themselves uncomfortable with the analysis portion of their work will appreciate this book’s unhurried pace and thorough, friendly presentation. Salkind begins the Excel version with a complete introduction to the software, and shows the students how to install the Excel Analysis ToolPak option (free) to earn access to a host of new and very useful analytical techniques. He then walks students through various statistical procedures, beginning with correlations and graphical representation of data and ending with inferential techniques and analysis of variance. Pedagogical features include sidebars offering additional technical information about the topic and set-off points that reinforce major themes. Finally, questions to chapter exercises, a complete glossary, and extensive Excel functionality are located at the back of the book. This Third Edition is updated for use with Excel 2010.