Statistics for People Who (think They) Hate StatisticsBook - 2008
"This book is fantastic and accessible to students. Datasets on the website are extremely helpful."
—Lauren Miizock, Emmanuel College"Salkind's book has been (still is) an extraordinary part of the process of Statistical learning in my courses since 2004."
—Jose R. Rivera, International American University of Puerto Rico
"Another great teaching tool from an author who understands how to teach statistics."
—Dr. Neil Penny, Alvernia University
"This the best statistics book that I have used in teaching and taking stastics courses. It is well organized and offers complete, thorough, yet simple explanations."
—Patricia Ging, Tennessee Wesleyan College
The bestselling Statistics for People Who (Think They) Hate Statistics is now in its Third Edition! This text teaches an often intimidating and difficult subject in a way that is informative, personable, and clear. Author Neil J. Salkind takes students through various statistical procedures, beginning with correlation and graphical representation of data and ending with inferential techniques and analysis of variance. In addition, the text covers SPSS, and includes reviews of more advanced techniques, such as reliability, validity, introductory non-parametric statistics, and more. Pedagogical features include sidebars offering additional technical information about the topics presented and points that reinforce major themes in the book. This new edition also includes more examples than ever before, an expanded set of exercises at the end of each chapter, and a more comprehensive glossary.
Key Features of the Third Edition
- Gives updated examples from a variety of disciplines, and more of them than ever before
- Contains more Time to Practice exercises, with answers in the back of the book
- Presents additional coverage of general research methods basics
- Includes expanded coverage of power
Ideal for the fearful and honest, and for those many liberal arts majors whose last math class was in the Jurassic period, this edition includes more exercises, data sets in two popular formats, more answers in the back of the book, and a new organization scheme that introduces reliability and validity earlier in the text. Salkind (mathematics, U. of Kansas) keeps students reading with accessible language and humor as well as a wide range of hands-on and relatively simple exercises, starting with averages and leading to variability, correlation coefficients, reliability, validity, hypotheticals, probability, significance, the means of different groups, analysis of variance and factoral analysis of variance, linear regression, chi-squares, and in a final flash of wit, suitable software, best Internet sites and the Ten Commandments of data collection, which we understand do not necessarily preclude coveting anything. Annotation ©2008 Book News, Inc., Portland, OR (booknews.com)