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

By: Salkind, Neil J [author].
Material type: materialTypeLabelBookPublisher: California : Sage, [2014]Copyright date: ©2014Description: xxvii, 483 pages : illustrations, tables, graphs ; 25 cm.Content type: text Media type: unmediated Carrier type: volumeISBN: 9781452277714.Subject(s): StatisticsDDC classification: 519.5
Contents:
Part I: Yippee! I'm in statistics -- Statistics or sadistics? It's up to you -- Part II: Sigma 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 -- Part III: Taking chances for fun and profit -- Hypotheticals and you: testing your questions -- Are your curves normal? probability and why it count -- Part IV: 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 -- 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 -- Part V: Ten things you'll want to know and remember -- The ten (or more) best internet sites for statistics stuff -- The ten commandments of data collection.

Enhanced descriptions from Syndetics:

The bestselling Statistics for People Who (Think They) Hate Statistics is now in its Fifth Edition and now also available in an interactive eBook edition! Lecturers - contact your local SAGE representative to discuss your course needs or to request an inspection copy.Continuing its hallmark use of humour, this text helps students develop an understanding of an often intimidating and difficult subject with an approach that is informative, personable, and clear. Author Neil J. Salkind takes students through various statistical procedures, beginning with descriptive statistics, correlation, and graphical representation of data, and ending with inferential techniques and analysis of variance. In addition, the book covers SPSS and includes reviews of more advanced techniques, such as reliability, validity, and introductory non-parametric statistics. The new Fifth Edition offers more examples than ever before, and a new Real World Stats feature at the end of each chapter. Interactive eBook Edition available!The interactive eBook edition features animations of figures in the book, step-by-step videos that demonstrate how to carry out various procedures, data sets that are clickable right from the book pages, quick quizzes, video clips of the author talking about statistics in everyday life, and much more to help students boost their confidence with statistics. The interactive eBook is available for FREE when purchased as a bundle using ISBN 9781483344201 and provides 180 day access. Click here to see a video walk-through of the rich Interactive eBook features. Click here to view a sample chapter from the Interactive eBook.

Includes index.

Part I: Yippee! I'm in statistics -- Statistics or sadistics? It's up to you -- Part II: Sigma 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 -- Part III: Taking chances for fun and profit -- Hypotheticals and you: testing your questions -- Are your curves normal? probability and why it count -- Part IV: 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 -- 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 -- Part V: Ten things you'll want to know and remember -- The ten (or more) best internet sites for statistics stuff -- The ten commandments of data collection.

Donated by Julie Aldrige.

Reviews provided by Syndetics

CHOICE Review

Salkind (emer., psychology and research in education, Univ. of Kansas) presents the sixth edition of his introductory textbook (CH, Oct'00, 38-0999). In the updated work, data mining is now included as is treatment of partial correlation, effect size, and analyses of SPSS (a software tool) output. More exercises with solutions are included, and references to supplemental electronic resources are now available. The goal is to present statistics at a "first course in college" level. It is not (the title might mislead) a popular culture book (i.e., a quick-fix means of learning statistics without effort). Examples and exercises from education and psychology dominate. Efforts to connect with users sell the book. The author expresses ideas cogently and uses clever expressions and cartoons to make points. Textual presentation is organized to teach: each chapter includes a humorous title, a chapter difficulty rating, brief (and not overwhelming) outlines of learning objectives, bold type for key terms, "to the point" graphics, exercises (not discouragingly endless in number), various marginal icons to identify videos (of statistical procedures, problem starts, and chapter summaries), websites (real world applications), journal articles, supplemental remarks, technical ideas, procedures, and key summaries. This is a great update to a work that has been popular with its intended audience. Summing Up: Recommended. Lower-division undergraduates and above; faculty and professionals. --William R. Lee, Minnesota State University, Mankato

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