Statistics For People Who (Think They) Hate Statistics - Tapa dura

Críticas

"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)

“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!” (Russ Shafer-Landau)

“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.” (Valerie Janesick)

“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.” (Dr. Andrea Winkler Statistical Methods in Medical Research)

Reseña del editor

'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.