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Statistics for people who (think they) hate statistics /

Библиографические подробности
Главный автор: Salkind, Neil J.
Формат: Printed Book
Опубликовано: Los Angeles: Sage, 2017.
Редактирование:6th ed.;
Предметы:
LEADER 02443cam a2200181 i 4500
020 |a 9781506361161 
082 0 0 |a 519.5  |b SAL-S 
100 1 |a Salkind, Neil J., 
245 1 0 |a Statistics for people who (think they) hate statistics / 
250 |a 6th ed.; 
260 |a Los Angeles:  |b Sage,  |c 2017. 
300 |a xxix, 519 pages :  |b illustrations ; 
500 |a Revised edition of the author's Statistics for people who (think they) hate statistics, 2014. 
505 0 |a 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. 
650 0 |a Statistics. 
942 |c REF 
999 |c 54426  |d 54426 
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