Summaries and Customer Reviews are supplied by Amazon.com
Summary:
“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
An Instructor’s Resource CD (ISBN: 978-1-4129-5152-4) is available to qualified adopters of the text. It includes:
A downloadable (PDF) pamphlet on How to Teach Statistics
Sample syllabi
Extensive lecture outlines (PowerPoint)
Art from the book for use as overheads
An additional set of practice problems (with answers)
Answers to questions about the SAGE Journal articles that appear on the Companion Web Site
Data sets in SPSS and Excel
A test bank placed into Diploma 6.3 (Brownstone)
To request the IRCD for this book please contact Customer Care at 1.800.818.7243 or by emailing info@sagepub.com with course name and enrollment and your university mailing address to expedite the process.
The companion Web site located at www.sagepub.com/salkindstudy offers:
Practice quizzes
Flashcards
Access to SAGE Journal articles related to each chapter (whenever possible)
An in-depth review of SPSS
Data sets in SPSS and Excel
A list of useful Web links
A link to Neil’s blog statforpeople.blogspot.com
In addition, for only $25 extra on top of the price of the textbook, students can purchase the text as a bundle that includes a copy of SPSS Student Version 15 (ISBN: 978-1-4129-5151-7)!
Customer Reviews:
Average Customer Rating:
Statistics made simple!
Customer Rating:
This was a great book for my online statistics class. It really took the "statistics" out of statistics!! Made the class quite intersting.
Don't Take a Stats Class Without This Book!
Customer Rating:
This was the text book for my first college statistics class and I'm so glad it was! I'm taking a more advanced statistics class now, and I'm reading this book again instead of using the new textbook (as much as possible) because it actually explains statistics in a way that I can understand and is interesting. Highly recommended!
Great text for what may be a dull subject
Customer Rating:
This text is a very easy read and is actually quite entertaining. Salkind uses humor and casual conversation to explain a topic that may otherwise be dull and difficult to unerstand. Each chapter is rated with a difficulty scale.
Conceptually deficient
Customer Rating:
I used an earlier version of this text in teaching an introductory statistics class. While I laud the author for trying to introduce statistical concepts and computer software conventions in the same introductory level text, I think he tries to do too much. As a result, statistical concepts are trivialized. Students may learn to compute, but they have little understanding of the meaning of their computations.
At one time or another, I think that all of us who teach courses in statistics or research methods have been too quick to send our students to the computer without being sure that they first understand the conceptual foundations of the work we assign. It's a mistake that I've made and, in retrospect, the results were predictable: students are able to employ user-friendly software to compute a variety of measures, but they lack the ability to interpret what they've done. Furthermore if students are given a data set and asked to respond to specific questions, they have difficulty deciding which measures to use.
Retrograde though it may seem, I think computer applications should be delayed until a second course. This enables the instructor to focus on concepts in a first course. Moreover, actually solving carefully selected problems using nothing more than a pocket calculator seems to further enhance students' appreciation of the conceptual underpinnings of applied statistics and improves their ability to interpret their results.
Statistics book review
Customer Rating:
The book was in excellent condition. Shipping and price were not over price. Everything was 100%..
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