000			02860cam a2200301 i 4500
001			19087603
003			AUA.1
005			20171129172411.0
008			160509s2017 caua b 001 0 eng
010			_a 2016020160
020			_a9781506333830 (pbk. : alk. paper)
020			_z9781506333823 (web pdf)
040			_aDLC _beng _cDLC _erda _dDLC
042			_apcc
050	0	0	_aHA29 _b.S2365 2017
082	0	0	_a519.5 _223
100	1		_aSalkind, Neil J., _eauthor. _953071
245	1	0	_aStatistics for people who (think they) hate statistics / _cNeil J. Salkind, University of Kansas.
250			_a6 Edition.
300			_axxix, 519 pages : _billustrations ; _c26 cm
500			_aRevised edition of the author's Statistics for people who (think they) hate statistics, 2014.
504			_aIncludes bibliographical references and index.
505	0		_aA 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	_aStatistics.
906			_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg
942			_2lcc _cRESC _hHA 29 _i.S2365 2017
999			_c18815 _d18815