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About the Author
Deborah Rumsey has a PhD in Statistics from The Ohio State University
(1993). She is a Statistics Education Specialist/Auxiliary Faculty Member for
the Department of Statistics. Dr. Rumsey has been given the distinction of
being named a Fellow of the American Statistical Association. She has also
won the Presidential Teaching Award from Kansas State University. She is the
author of Statistics For Dummies, Statistics Workbook For Dummies, and
Probability For Dummies. She has published numerous papers and given
many professional presentations on the subject of statistics education. Her
passions include being with her family, bird watching, solving Sudoku puz-
zles, getting more seat time on her Kubota tractor, and cheering the Ohio
State Buckeyes on to another National Championship.
Contents at a Glance
Introduction .................................................................1
Part I: Data Analysis and Model-Building Basics............7
Chapter 1: Beyond Number Crunching: The Art and Science of Data Analysis .........9
Chapter 2: Sorting through Statistical Techniques ......................................................31
Chapter 3: Building Confidence and Testing Models...................................................49
Part II: Making Predictions by Using Regression...........67
Chapter 4: Getting in Line with Simple Linear Regression..........................................69
Chapter 5: When Two Variables Are Better than One: Multiple Regression.............87
Chapter 6: One Step Forward and Two Steps Back: Regression Model
Selection........................................................................................................................107
Chapter 7: When Data Throws You a Curve: Using Nonlinear Regression .............129
Chapter 8: Yes, No, Maybe So: Making Predictions By Using Logistic
Regression.....................................................................................................................149
Part III: Comparing Many Means with ANOVA............159
Chapter 9: Going One-Way with Analysis of Variance................................................161
Chapter 10: Pairing Things Down with Multiple Comparisons ................................177
Chapter 11: Getting a Little Interaction with Two-Way ANOVA................................185
Chapter 12: Rock My World: Relating Regression to ANOVA....................................195
Part IV: Building Strong Connections with
Chi-Square Tests.......................................................207
Chapter 13: Forming Associations with Two-Way Tables .........................................209
Chapter 14: Being Independent Enough for the Chi-Square Test.............................229
Chapter 15: Using Chi-Square Tests for Goodness-of-Fit (Your Data,
Not Your Jeans)............................................................................................................249
Part V: Rebels without a Distribution .........................259
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