Statistics for People Who (Think They) Hate Statistics

by Dr . Neil J . Salkind (Author)

• Used

  Paperback
  2010

  $5.83

  Praise from students for Neil Salkind's Statistics for People Who (Think They) Hate Statistics:

  Your book has changed my perception and attitude towards statistics. It is very well written, the language is completely user friendly and the progression of new concepts within each chapter is fantastic. Although my class is only on chapter 5 at this point, I have found my interest in the concepts and order in which you introduce them becoming greater. I thank you with very much appreciation as I was someone who dreaded taking statistics and thought I hated it! - Jessica Maes, graduate student

  The Fourth Edition of Neil J. Salkind's bestselling text introduces students to the fundamentals of basic statistics in an informative, personable, and unintimidating way. The author expertly guides students through various statistical procedures, beginning with basic descriptive statistics and correlation and graphical representation of data and ending with inferential techniques including analysis of variance.

  This page refers to the edition that is bundled with the student version of SPSS printed. Click here for details about the print version only.

• 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.