Intermediate Statistics For Dummies (For Dummies (Math & Science)) |  | Author: Deborah Rumsey
Publisher: For Dummies
List Price: $19.99
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Rating:  8 reviews
Media: Paperback
Pages: 384
Number Of Items: 1
Shipping Weight (lbs): 1.2
Dimensions (in): 9.1 x 7.4 x 0.9
ISBN: 0470045205
Dewey Decimal Number: 519.5
EAN: 9780470045206
ASIN: 0470045205
Publication Date: March 12, 2007
Availability: Usually ships in 1-2 business days
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Product Description
Need to know how to build and test models based on data? Intermediate Statistics For Dummies gives you the knowledge to estimate, investigate, correlate, and congregate certain variables based on the information at hand. The techniques youâll learn in this book are the same techniques used by professionals in medical and scientific fields. Picking up right where Statistics For Dummies left off, this straightforward, easy-to-follow book guides you beyond Central Limit Theorem and hypothesis tests and immerses you in flavors of regression, ANOVA, and nonparametric procedures. Unlike regular statistics books, this guide provides full explanations of intermediate statistical ideas; computer input dissection; an extensive number of examples, tips, strategies, and warnings; and clear, concise step-by-step proceduresâall in a language you can understand. Youâll soon discover how to: - Analyze data and base models off of your data
- Make predictions using regression
- Compare many means with ANOVA
- Test models using Chi-square
- Dealing with abnormal data
In addition, this book includes a list of wrong statistical conclusions and common questions that professors ask using computer output. This book also adopts a nonlinear approach, making it possible to skip to the information you need without having to read previous chapters. With Intermediate Statistics For Dummies, youâll have all the tools you need to make important decisions in all types of professional areasâfrom biology and engineering to business and politics!
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Showing reviews 1-5 of 8
 Buy the latest version October 17, 2009
J. Sims (Dallas, Tx USA)
1 out of 1 found this review helpful
I bought this thinking that it would help me with my Statistics class. I also bought Statistics II for Dummies. It turns out that this book is just an earlier version of the Statistics II for Dummies book.
 statistics made easy April 17, 2009
Germana Porto L. Almeida
1 out of 1 found this review helpful
A light- reading book, with concise chapters in various topics of statistics. Totally worth the choice.
Engaging, but too focused on MiniTab January 23, 2009
Monte E. Milanuk (Wenatchee, WA USA)
2 out of 2 found this review helpful
I took an intro stats course last spring, and actually ended up enjoying myself! After the course was over, I found myself wanting more... both a separate perspective from the book used in the course I took (Bluman's A Brief Introduction to Elementary Statistics, 4th Ed.), and something that went at least a little further. I purchased this book figuring if I was still interested after reading it, I'd start looking for more traditional text books. To that end, I'm not too terribly disappointed that there isn't much in the way of formulae; I didn't really expect there to be in a Dummies book. Even so, the author's descriptions and examples do a good job of illuminating the topics discussed... but the biggest drawback to the book is the pervasive use of Minitab. I got a (very) brief taste of that software package when I took that stats course... nothing wrong with it other than I think providing examples for a Dummies book using software that costs $$$$ for a single user license is a bit absurd. Most of the alternatives (SAS, SPSS, Stata) aren't much better in that regard, so short of doing it in Excel (which would require massive add-ons at a minimum) or R (free, but I'm not sure people looking to get a quick refresher on which test to use for what and when are going to want to wrestle with a command-line style interface). I wish I had a better solution to go with my criticism, but it doesn't change the way I feel.
Big picture without sacrificing depth + careful explanation of essential statistical ideas November 18, 2008
Philosopher X (Vancouver, BC, Canada)
2 out of 2 found this review helpful
I read many traditional books in statistics, to include intro and advanced ones. Most of them either focus too much on the algebraic details with almost no discussion of the essential statistical concepts or they focus too much on abstract theorizing with little technical and practical content.
Prof. Rumsey's book on the other hand, does a great job keeping the discussion to an easy to follow level of understanding without sacrificing important details and the complexity and subtleties that essential statistical concepts and techniques require (e.g., testing models vis-à-vis hypothesis testing, confidence intervals, multiple regressions, nonparametric methods, discussion of Simpson's paradox).
This book can be a good supplemental reading for those students from humanities, the social and behavioral sciences, as well as anyone interested in having a quick review of the fundamentals of stats plus a good walk through of the highly demanded (and often misunderstood and abused) statistical tools for everyday practice in applied fields.
I recommend this book, and I wish other statisticians could explain as well as Prof. Rumsey does.
OK if you want to learn how to use statistical tests, inadequate if you want to LEARN statistics October 14, 2008
Charles Ashbacher (Marion, Iowa United States(cashbacher@yahoo.com))
26 out of 27 found this review helpful
As someone who has taught a college level course in basics statistics for over a quarter century, I am both intrigued and disturbed by the phrase "Intermediate Statistics." In general, there is basic and advanced statistics, so my first thought is that to create the intermediate category, you must reduce the coverage in the basic and advanced levels to make room or simply repeat the last part of the basic section and the first part of the advanced section. I am intrigued because if it is properly done, a section called intermediate statistics could be used to fill holes otherwise missed.
In terms of content, I really cannot argue with the "intermediate" descriptor. The coverage is:
*) The fundamentals of statistical models and hypothesis testing.
*) Using linear and nonlinear regression to make predictions based on data.
*) Using one and two-way analysis of variance (ANOVA)
*) Using the chi-square test to test associations, independence and goodness-of-fit
*) Using nonparametric statistics such as the sign, signed rank, rank sum, Kruskal-Wallis, Wilcox and Spearman's rank tests.
When I teach the basic statistics course, these are subjects that tend to get left out, in general I never get to two-way ANOVA, goodness-of-fit and nonparametric statistics.
The problem that I have with this book, and it is a major one, is that there are few formulas and no worked examples. A brief description of the statistical test is given with a set of sample data. The author then crunches the data through Minitab and reports the results in an output table. In my experience, students really do not learn how to do the statistical tests or what they are really measuring by simply having results listed. They must see the formulas worked through and physically work through them at least once. Mathematics and statistics is very much a participation sport, and there is very little participation here.
Showing reviews 1-5 of 8
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