Statistics for people who (think they) hate statistics

Book

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

Summary:

"Intended for anyone who wants to learn or brush up on the basics of statistics but is anxious about their abilities, this book offers a slow-paced, entertaining introduction to the topic. Using playful headings to encourage students to read further, the book begins with an introduction to the "language" of statistics, and then covers descriptive statistics (from computing measures of central tendency to distributions and curve plotting to graphing data) and inferential statistics (including probability, statistical significance, correlation/regression, ANOVA, and multiple regression)."--Jacket.

Record details

ISBN: 0761916210
ISBN: 9780761916215
ISBN: 0761916229
ISBN: 9780761916222
Physical Description: xxi, 385 pages : illustrations ; 26 cm
Publisher: Thousand Oaks, Calif. : Sage Publications, Inc., ©2000.

Content descriptions

General Note:: Includes index.
Formatted Contents Note:: pt. 1. Yippee! I'm in statistics -- 1. Statistics or sadistics? It's up to you -- pt. 2. Sigma Freud and descriptive statistics -- 2. Means to an end: computing and understanding averages -- 3. Vive la différence: understanding variability -- 4. Picture really is worth a thousand words -- 5. Ice cream and crime: computing correlation coefficients -- 6. Predicting who'll win the Super Bowl: using linear regression -- pt. 3. Taking chances for fun and profit -- 7. Hypotheticals and you: testing your questions -- 8. Are your curves normal? probability and why it counts -- pt. 4. Significantly different: using inferential statistics -- 9. Significantly significant: what it means for you and me -- 10. t(ea) for two: tests between the means of different groups -- 11. t(ea) for two (again): tests between the means of related groups -- 12. Two groups too many: try analysis of variance -- 13. Cousins or just good friends: testing relationships using the correlation coefficient -- 14. What to do when you're not normal: chi-square and some other nonparametric tests -- 15. Some other (important) statistical procedures you should know about -- 16. Statistical software sampler -- pt. 5. Ten things you'll want to know and remember -- 17. Ten best Internet sites for statistics stuff -- 18. Ten commandments of data collection.