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The bestselling text Statistics for People Who (Think They) Hate Statistics is the basis for this completely adapted Excel 2010 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. This Third Edition is updated for use with Excel 2010.
- Sales Rank: #91102 in Books
- Brand: Brand: SAGE Publications, Inc
- Published on: 2012-07-23
- Ingredients: Example Ingredients
- Original language: English
- Number of items: 1
- Dimensions: 10.25" h x 7.25" w x 1.00" l, 1.85 pounds
- Binding: Paperback
- 488 pages
- Used Book in Good Condition
Review
"Salkind's book has been (still is) an extraordinary part of the process of Statistical learning in my courses since 2004."
(Jose R. Rivera 2008-11-17)
"Another great teaching tool from an author who understands how to teach statistics." (Dr. Neil Penny 2008-11-17)
About the Author
Neil J. Salkind received his PhD from the University of Maryland in Human Development, and after teaching for 35 years at the University of Kansas, he remains as a Professor Emeritus in the Department of Psychology and Research in Education, where he continues to collaborate with colleagues and work with students. His early interests were in the area of children’s cognitive development, and after research in the areas of cognitive style and (what was then known as) hyperactivity, he was a postdoctoral fellow at the University of North Carolina’s Bush Center for Child and Family Policy. His work then changed direction and the focus was on child and family policy, specifically the impact of alternative forms of public support on various child and family outcomes. He has delivered more than 150 professional papers and presentations; written more than 100 trade and textbooks; and is the author of Statistics for People Who (Think They) Hate Statistics (Sage), Theories of Human Development (Sage), and Exploring Research (Prentice Hall). He has edited several encyclopedias, including the Encyclopedia of Human Development, the Encyclopedia of Measurement and Statistics, and the recently published Encyclopedia of Research Design. He was editor of Child Development Abstracts and Bibliography for 13 years and lives in Lawrence, Kansas, where he likes to letterpress print (see https://sites.google.com/site/bigboypressofks/ for more), read, swim with the Lawrence River City Sharks, bake brownies (see the recipe at http://www.statisticsforpeople.com/The_Brown.html), and poke around old Volvos and old houses
Most helpful customer reviews
1 of 1 people found the following review helpful.
EBook Is not worth Buying. Buy Physical Book!
By vanessa
Do not download the E-book. The pictures are blurry and can not be zoomed into. I tried to read it on my iPad, iPhone, Kindle, and E-cloud reader. Buy the psychical book if interested. I downloaded for a class and my teacher had to send me pictures of the data and instructions till my psychical booked arrived. Other than that the book is very helpful and very simple to fallow along with.
12 of 12 people found the following review helpful.
Ideal first book on statistics
By Jaewoo Kim
You want to know the difference between ANOVA and T-Test? How about Correlation and Regression? Have you used but wondered exactly what Standard Deviation was?
With perhaps the exception of Calculus, very few mathematical concepts are as useful as statistics. Yet, statistics is one of the most poorly explained concepts in all of mathematics. This book is the user-friendly version of basic to intermediate statistics. I highly recommend it to those who want to start learn statistics (or want a refresher).
The last time I used statistics was in college science courses (Chemistry and Physics) and I had all but forgotten the value and concept of statistics. Extremely well written and catering to the mathematically challenged, this book simplifies statistics for everyone. Even if you have used statistics for years, this book may provide insights into statistics you never had. For example, the book does an extremely good job of describing null vs research (alternative) hypothesis and one vs two tailed tests.
You will need Excel (preferably 2007) to solve the problems in this book since all the solutions assume you are using one. Excel makes calculation of statistics very easy, so easy this book leaves out many of the little steps in calculating statistics. Although it provides all the formulas and step-by-step calculations, most of the complex calculations are not detailed since Excel takes cares of them. The real genius of this book is simplifying the description, utility, significance, and application of each statistical concept.
I highly recommend purchasing a separate statistical workbook (Business Statistics by Schaum is good one) since the book does not provide a lot of problems and solutions. This book, however, is an ideal first book on statistics.
3 of 3 people found the following review helpful.
This is the best statistics book out there!
By F. Trembath
This book explains statistics in simple language so that anyone can understand. This is not the case for most stats books! I have taken several 500 and 600 level statistics courses, and I still go back to this book occasionally to review something or read how to explain it to someone else. I recommend this book to everyone I know taking statistics
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