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

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Binding: Paperback

Customer Reviews:

Statistics not for Dummies [Posted on 2007-06-21]
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.


A Good Sequel to Statistics for Dummies [Posted on 2007-12-30]
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).

Book Contents:

Part I: Data Analysis and Model-Building Basics.
Chapter 1: Beyond Number Crunching: The Art and Science of Data Analysis.
Chapter 2: Sorting through Statistical Techniques.
Chapter 3: Building Confidence and Testing Models.

Part II: Making Predictions by Using Regression.
Chapter 4: Getting in Line with Simple Linear Regression.
Chapter 5: When Two Variables Are Better than One: Multiple Regression.
Chapter 6: One Step Forward and Two Steps Back: Regression Model Selection.
Chapter 7: When Data Throws You a Curve: Using Nonlinear Regression.
Chapter 8: Yes, No, Maybe So: Making Predictions By Using Logistic Regression.

Part III: Comparing Many Means with ANOVA.
Chapter 9: Going One-Way with Analysis of Variance.
Chapter 10: Pairing Things Down with Multiple Comparisons.
Chapter 11: Getting a Little Interaction with Two-Way ANOVA.
Chapter 12: Rock My World: Relating Regression to ANOVA.

Part IV: Building Strong Connections with Chi-Square Tests.
Chapter 13: Forming Associations with Two-Way Tables.
Chapter 14: Being Independent Enough for the Chi-Square Test.
Chapter 15: Using Chi-Square Tests for Goodness-of-Fit (Your Data, Not Your Jeans).

Part V: Rebels without a Distribution.
Chapter 16: Going Nonparametric.
Chapter 17: The Sign Test and Signed Rank Test.
Chapter 18: Pulling Rank with the Rank Sum Test.
Chapter 19: Do the Kruskal-Wallis and Rank the Sums with Wilcox.
Chapter 20: Pointing Out Correlations with Spearman's Rank.

Part VI: The Part of Tens.
Chapter 21: Ten Errors in Statistical Conclusions.
Chapter 22: Ten Practice Problems.
Appendix: Tables for Your Reference.
Index.

In short, a good introductory book at a fair price.


Excellent for reviewers and newbies [Posted on 2008-08-11]
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.


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