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   Book Info

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Statistics for People Who (Think They) Hate Statistics  
Author: Neil J. Salkind
ISBN: 076192776X
Format: Handover
Publish Date: June, 2005
 
     
     
   Book Review


Review
“Statistics for People Who (Think They) Hate Statistics is definitely the right book for people who have to overcome that familiar anxious feeling when opening a standard statistics book and who having finally managed to do so are still not able to make much sense of it all. The book by Salkind is easy and pleasant to read and one that hardly needs any pre-knowledge of the field to be able to follow the author’s train of thoughts. Salkind has managed to bring statistics home to people who hate statistics or thought they did.”


Review
"A well written, well organized and understandable introduction to statistical reasoning, use, and what meaning they may have… the reader will have a much better grasp of statistics and a better ability to consume social science research."


Book Description
Downloadable data sets:http://www.soe.ku.edu/faculty/Salkind/stats_fpwhs/Click 'Additional Materials' for downloadable sample chaptersThe bestselling text Statistics for People Who (Think They) Hate Statistics teaches 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 takes students through various statistical procedures, beginning with correlations and graphical representation of data and ending with inferential techniques and analysis of variance. In addition, there is coverage of SPSS (and data sets for hands-on experience), and a review of more advanced statistical techniques, such as reliability, validity, introductory non-parametric statistics, and more. Pedagogical features include sidebars offering additional technical information about the topic and set-off points that reinforce major themes. Finally, questions to chapter exercises and a complete glossary are located at the back of the book. Throughout the book, Salkind offers readers: - Difficulty Rating Index for each chapter’s material - Tips for doing and thinking about a statistical technique - Top Ten for everything from the best ways to create a graph to the mosteffective techniques for data collection - Tech Talk boxes for readers who want additional details and commentary on statistical procedures - Things to Remember offer readers reviews and reminders of how material presented earlier relates to a technique being presented - Steps that break statistical techniques down into a clear sequence of procedures - SPSS Tips for executing each major statistical technique – - Time to Practice exercises at the end of each chapter, followed by complete solutions to each problem - Appendices contain an introduction to SPSS as well as data sets (also available online) used in the completion of chapter exercises and end-of-chapter problems Praise for the First Edition "I liked its humorous approach, which indeed helps to reduce statistical anxiety. The design of the book is inviting and relaxing, which is a plus. The writing style is great and the presentation is appropriate for my students. A fun and well-written book, it is easy to read and use, and presents statistics in a user-friendly way. . . . I would recommend it for sure."--Dr. Minjuan Wang, Assistant Professor of Educational Technology, San Diego State University "Salkind’s book is in a class by itself. It is easily the best book of its kind that I have come across. I enthusiastically recommend it for any one interested in the subject, and even (and especially) for those who aren’t!" --Professor Russ Shafer-Landau, University of Wisconsin "Statistics for People Who (Think They) Hate Statistics really makes students learn and enjoy statistics and research in general. Students especially like the Ten Commandments and Internet sites." --Professor Valerie Janesick, School of Education, Roosevelt University "Statistics for People Who (Think They) Hate Statistics is definitely the right book for people who have to overcome that familiar anxious feeling when opening a standard statistics book and who having finally managed to do so are still not able to make much sense of it all. The book by Salkind is easy and pleasant to read and one that hardly needs any pre-knowledge of the field to be able to follow the author’s train of thoughts. Salkind has managed to bring statistics home to people who hate statistics, or thought they did." --From a review appearing in Statistical Methods in Medical Research (Arnold Publications) Dr. Andrea Winkler, Maudsley and Bethlem Hospital, London, U.K. New to the Second Edition: - Downloadable practice data sets- New chapter on factorial analysis of variance - New chapter on reliability and validity - New section on effect size - An entirely revised test bank instructor's manual




Statistics for People Who (Think They) Hate Statistics

ANNOTATION

"...offers a slow-paced, entertaining introduction to the topic...begins with a discussion of the 'language' of statistics, then goes on to cover both descriptive and inferential statistics."

FROM THE PUBLISHER

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).

SYNOPSIS

This textbook explains various statistical procedures, beginning with correlations and graphical representation of data and moving on to inferential techniques and analysis of variance. It also covers SPSS and advanced concepts like reliability, validity, and introductory nonparametric statistics. Salkind teaches at the University of Kansas. Annotation ©2004 Book News, Inc., Portland, OR

     



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