Statistics for People Who (Think They) Hate Statistics

by Dr . Neil J . Salkind (Author)

• Used

  Paperback
  2000

  $5.83

  Written for anyone who wants to learn or brush-up on the basics of statistics but is anxious of their abilities, this book offers a step-by-step introduction to the topic. The book begins with an introduction to the `language' of statistics, and then covers descriptive statistics and inferential statistics. Throughout, the author offers readers: a `Difficulty Rating Index' for each chapter's material; Tips for doing and thinking about a statistical technique; top tens for everything from the best ways to create a graph to the most effective techniques for data collection; steps that break techniques down into a clear sequence of procedures; SPSS tips for executing each major statistical technique; and time to practice exercises at the end of each chapter, followed by worked out solutions.

  The book concludes with a statistical software sampler and a description of the best Internet sites for statistical information and data resources. Readers also have access to a website for downloading data that they can use to practice additional exercises from the book.

  Students and researchers will appreciate the book's unhurried pace and thorough, friendly presentation.

• Used

  Paperback
  2004

  $4.22

  'There's lots to commend this book. It's readable, helpful, humorous and works to gently guide the reader through an unfamiliar new territory. The aim is to give the reader both the knowledge and the confidence to think about statistics and how it's used in the real world'

  - TechBookReport

  With a new chapter, enhanced graphics, an instructor's manual and practice data sets, the Second Edition of Statistics for People Who (Think They) Hate Statistics builds on the success of the First Edition by approaching an often intimidating and difficult subject in a way that is informative, personable, and clear. The text does this through the use of a conversational tone that takes students through various statistical procedures beginning with simple descriptions of data including correlations and graphical representation of data and ending with inferential techniques up through analysis of variance. In addition, there is coverage of using SPSS (and lots of data sets for hands-on experience), a review of more advanced statistical techniques, coverage of reliability, validity, introductory non-parametric, and more. Chapters contain features such as sidebars offering additional technical information about the topic (not essential but of interest to many students) 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.