Intermediate Statistics For Dummies

09.03.2007

Englisch

9780470045206

John Wiley & Sons

Nein

Deborah Rumsey

384

1

Broschiert

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 puzzles, getting more seat time on her Kubota tractor, and cheering the Ohio State Buckeyes on to another National Championship.

Statistik

Introduction. 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.

235 mm

18.8 cm