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Intermediate Statistics For Dummies (For Dummies (Math Science))

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Author: Deborah Rumsey
Publisher: For Dummies
Category: Book

List Price: ~~$19.99~~
Buy Used: $7.95
You Save: $12.04 (60%)

New (40) Used (13) from $7.95

Media: Paperback
Number Of Items: 1
Pages: 384
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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Editorial Reviews:

Product Description
Need to know how to build and test models based on data? iIntermediate Statistics For Dummies/i gives you the knowledge to estimate, investigate, correlate, and congregate certain variables based on the information at hand. The techniques you#8217;ll learn in this book are the same techniques used by professionals in medical and scientific fields. p Picking up right where iStatistics For Dummies/i 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 procedures#8212;all in a language you can understand. You#8217;ll soon discover how to: ul type="disc" liAnalyze data and base models off of your data liMake predictions using regression liCompare many means with ANOVA liTest models using Chi-square liDealing with abnormal data /ul p 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 iIntermediate Statistics For Dummies/i, you#8217;ll have all the tools you need to make important decisions in all types of professional areas#8212;from biology and engineering to business and politics!

Customer Reviews:

5 out of 5 stars

Big picture without sacrificing depth + careful explanation of essential statistical ideas November 18, 2008
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. br /br /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-a-vis hypothesis testing, confidence intervals, multiple regressions, nonparametric methods, discussion of Simpson's paradox).br /br /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.br /br /I recommend this book, and I wish other statisticians could explain as well as Prof. Rumsey does.

3 out of 5 stars

OK if you want to learn how to use statistical tests, inadequate if you want to LEARN statistics October 14, 2008
9 out of 9 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. br / In terms of content, I really cannot argue with the "intermediate" descriptor. The coverage is:br /br /*) The fundamentals of statistical models and hypothesis testing.br /*) Using linear and nonlinear regression to make predictions based on data.br /*) Using one and two-way analysis of variance (ANOVA)br /*) Using the chi-square test to test associations, independence and goodness-of-fitbr /*) Using nonparametric statistics such as the sign, signed rank, rank sum, Kruskal-Wallis, Wilcox and Spearman's rank tests. br /br /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. br / 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. br /

5 out of 5 stars

Excellent for reviewers and newbies August 11, 2008
2 out of 2 found this review helpful

I did not find any use for my college statistics when I started working (at least for my function), but just recently, I had to relearn, what I've forgotten to keep pace with the demands of my job. This book is heavenly! Whether you're someone looking for a refresher course without having to pay huge sums to pick-up on stuff you know you've already learned or someone who wants the basics of statistics, this is the book for you.

5 out of 5 stars

A Good Sequel to Statistics for Dummies December 30, 2007
14 out of 16 found this review helpful

I'm glad the author has provided us with a good sequel to her previous "for dummies" books. This book addresses "intermediate" topics like linear and non-linear regression, ANOVA, and non-parametric tests. Also, the author uses again her successful formula of providing useful tips and hints at the end of the book (see Part VI). br /br /Book Contents:br /br /Part I: Data Analysis and Model-Building Basics. br /Chapter 1: Beyond Number Crunching: The Art and Science of Data Analysis. br /Chapter 2: Sorting through Statistical Techniques. br /Chapter 3: Building Confidence and Testing Models. br /br /Part II: Making Predictions by Using Regression. br /Chapter 4: Getting in Line with Simple Linear Regression. br /Chapter 5: When Two Variables Are Better than One: Multiple Regression. br /Chapter 6: One Step Forward and Two Steps Back: Regression Model Selection. br /Chapter 7: When Data Throws You a Curve: Using Nonlinear Regression. br /Chapter 8: Yes, No, Maybe So: Making Predictions By Using Logistic Regression. br /br /Part III: Comparing Many Means with ANOVA. br /Chapter 9: Going One-Way with Analysis of Variance. br /Chapter 10: Pairing Things Down with Multiple Comparisons. br /Chapter 11: Getting a Little Interaction with Two-Way ANOVA. br /Chapter 12: Rock My World: Relating Regression to ANOVA. br /br /Part IV: Building Strong Connections with Chi-Square Tests. br /Chapter 13: Forming Associations with Two-Way Tables. br /Chapter 14: Being Independent Enough for the Chi-Square Test. br /Chapter 15: Using Chi-Square Tests for Goodness-of-Fit (Your Data, Not Your Jeans). br /br /Part V: Rebels without a Distribution. br /Chapter 16: Going Nonparametric. br /Chapter 17: The Sign Test and Signed Rank Test. br /Chapter 18: Pulling Rank with the Rank Sum Test. br /Chapter 19: Do the Kruskal-Wallis and Rank the Sums with Wilcox. br /Chapter 20: Pointing Out Correlations with Spearman's Rank. br /br /Part VI: The Part of Tens. br /Chapter 21: Ten Errors in Statistical Conclusions. br /Chapter 22: Ten Practice Problems. br /Appendix: Tables for Your Reference. br /Index. br /br /In short, a good introductory book at a fair price.

4 out of 5 stars

Statistics not for Dummies June 21, 2007
17 out of 18 found this review helpful

I'm not familiar with Rumsy's "Statistics for Dummies," but this book is a nice overview of a second statistics course. The chapters on multiple regression techniques are especially good. The writing style is clear. Negatives: Only Minitab is used to illustrate data analysis. No SPSS. There might have been more data sets for the various techniques.

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