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Statistics II for Dummies Paperback – Aug 31 2009
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From the Back Cover
The fun and easy way to enhance your grasp of statistics
Need to expand your statistics knowledge and move on to Statistics II? This friendly, hands-on guide gives you the skills you need to take on multiple regression, analysis of variance (ANOVA), Chi-square tests, nonparametric procedures, and other key topics. Statistics II For Dummies also provides plenty of test-taking strategies as well as real-world applications that make data analysis a snap, whether you're in the classroom or at work.
Begin with the basics — review the highlights of Stats I and expand on simple linear regression, confidence intervals, and hypothesis tests
Start making predictions — master multiple, nonlinear, and logistic regression; check conditions; and interpret results
Analyze variance with ANOVA — break down the ANOVA table, one-way and two-way ANOVA, the F-test, and multiple comparisons
Connect with Chi-square tests — examine two-way tables and test categorical data for independence and goodness-of-fit
Leap ahead with nonparametrics — grasp techniques used when you can't assume your data has a normal distribution
Open the book and find:
Up-to-date methods for analyzing data
Full explanations of Statistics II concepts
Clear and concise step-by-step procedures
Dissection of computer output
Lots of tips, strategies, and warnings
Ten common errors in statistical conclusions
Everyday statistics applications
Tables for completing calculations used in the book
- Increase your skills in data analysis
- Sort through and test models
- Make predictions
Apply statistics to real-world situations
About the Author
Deborah Rumsey, PhD, is a Statistics Education Specialist and Auxiliary Faculty Member in the Department of Statistics at Ohio State University. She is also a Fellow of the American Statistical Association and has received the Presidential Teaching Award from Kansas State University. Dr. Rumsey has published numerous papers and given many professional presentations on the subject of statistics education.
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Most Helpful Customer Reviews on Amazon.com (beta)
I would suggest making one significant change for future editions. The author relies on the Minitab software package when discussing the use of computer aided statistical analysis. There are better, and often cheaper, software packages available for the user. Students will most likely have PASW, formally SPSS, available at most institutions of higher education. In addition, Amazon and many other retail outlets selling to students and faculty will have relatively inexpensive versions of this more powerful software available. While Minitab remains a viable option, and is certainly usable where available, I would recommend that in the next edition the author include instruction for the more popular PASW software package. Similarly, the program Mathematica should be at least mentioned in the text discussing computer aided statistical analysis, especially since this is a top choice for many in mathematics, economics, and many sciences.
Rumsey's book does a very good job in tackling the types of regression in the use in making predictions. In addition the section covering nonparametric methods is very useful. As expected, these are advanced methods for statistical analysis, and the author assumes a moderately strong understanding of basic statistics. Fortunately, the author also refer to her first book, statistics one, to help guide the reader for remedial study.
As a professor the book's greatest advantage is its relatively low price, something very important to today student. It is relatively easy to read, which makes the learning experience better. One item worth noting is the absence of exercises or material to test the reader's understanding. It would be easier to select this book for use in the classroom if such material were included or readily available from the publisher. Since this text appears to be primarily for the consumer market adding such material to the book would likely raise the price and defeat the purpose of the Dummies line of books. Based on this I typically use this book as a recommended reading and reference for my students.
This book is simply awesome!!!!!
It is so very easy to read, I feel like I am back in 3rd grade. I was having a beast of a time with multiple regression and was petrified of the algebra associated with curvilinear regression (it's been over 2 decades since I tackled this and I'm afraid I must have 'deleted' those files). In just one afternoon I have it squared away!
I may even attempt to 'teach' my colleagues in my group!
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