Intermediate statistics for dummies
- نوع فایل : کتاب
- زبان : انگلیسی
- مؤلف : Deborah J Rumsey
- ناشر : Indianapolis, IN : Wiley Pub., Inc.
- چاپ و سال / کشور: 2007
- شابک / ISBN : 9780470045206
Description
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.
eed to know how to build and test models based on data? This book presents the knowledge to estimate, investigate, correlate, and congregate certain variables based on the information at hand. It offers various techniques that are used by professionals in medical and scientific fields.
