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Checkout the complete overview of the book Statistics II For Dummies 1st Edition PDF:
The ideal supplement and study guide for students preparing for advanced statistics
Packed with fresh and practical examples appropriate for a range of degree-seeking students, Statistics II For Dummies helps any reader succeed in an upper-level statistics course. It picks up with data analysis where Statistics For Dummies left off, featuring new and updated examples, real-world applications, and test-taking strategies for success.
Features of Statistics II For Dummies 1st Edition PDF
Here’s a quick overview of the essential features of this book:
This easy-to-understand guide covers such key topics as sorting and testing models, using regression to make predictions, performing variance analysis (ANOVA), drawing test conclusions with chi-squares, and making comparisons with the Rank Sum Test.
Table of Contents
Below is the full table of contents offered inside Statistics II For Dummies 1st Edition PDF:
Part I: Tackling Data Analysis and Model-Building Basics
Chapter 1: Beyond Number Crunching: The Art and Science of Data Analysis
Chapter 2: Finding the Right Analysis for the Job
Chapter 3: Reviewing Confi dence Intervals and Hypothesis Tests
Part II: Using Different Types of Regression to Make Predictions
Chapter 4: Getting in Line with Simple Linear Regression
Chapter 5: Multiple Regression with Two X Variables.
Chapter 6: How Can I Miss You If You Won’t Leave? Regression Model Selection
Chapter 7: Getting Ahead of the Learning Curve with Nonlinear Regression
Chapter 8: Yes, No, Maybe So: Making Predictions by Using Logistic Regression
Part III: Analyzing Variance with ANOVA
Chapter 9: Testing Lots of Means? Come On Over to ANOVA
Chapter 10: Sorting Out the Means with Multiple Comparisons
Chapter 11: Finding Your Way through Two-Way ANOVA
Chapter 12: Regression and ANOVA: Surprise Relatives
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: Nonparametric Statistics: Rebels without a Distribution
Chapter 16: Going Nonparametric
Chapter 17: All Signs Point to 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 the Wilcoxon
Chapter 20: Pointing Out Correlations with Spearman’s Rank
Part VI: The Part of Tens
Chapter 21: Ten Common Errors in Statistical Conclusions
Chapter 22: Ten Ways to Get Ahead by Knowing Statistics
Chapter 23: Ten Cool Jobs That Use Statistics
Appendix: Reference Tables
Statistics II For Dummies 1st Edition PDF Free Download
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