Statistics for People Who (Think They) Hate Statistics: Excel 2007 Edition

by Dr . Neil J . Salkind (Editor)

• Used

  Paperback
  2009

  $3.47

  The bestselling text Statistics for People Who (Think They) Hate Statistics is the basis for this completely adapted Excel version. Author Neil J. Salkind presents 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 begins the Excel version with a complete introduction to the software, and shows the students how to install the Excel Analysis ToolPak option (free) to earn access to a host of new and very useful analytical techniques. He then walks students through various statistical procedures, beginning with correlations and graphical representation of data and ending with inferential techniques and analysis of variance. Pedagogical features include sidebars offering additional technical information about the topic and set-off points that reinforce major themes. Finally, questions to chapter exercises, a complete glossary, and extensive Excel functionality are located at the back of the book.

• Used

  Paperback
  2004

  $3.47

  '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.