The ideal supplement and study guide for students preparing for advanced statisticsPacked 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. 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.

Introduction.Part I: Tackling Data Analysis and Model-BuildingBasics.Chapter 1: Beyond Number Crunching: The Art and Science of DataAnalysis.Chapter 2: Finding the Right Analysis for the Job.Chapter 3: Reviewing Confi dence Intervals and HypothesisTests.Part II: Using Different Types of Regression to MakePredictions.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 NonlinearRegressio.Chapter 8: Yes, No, Maybe So: Making Predictions by UsingLogistic 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-SquareTests.Chapter 13: Forming Associations with Two-Way Tables.Chapter 14: Being Independent Enough for the Chi-SquareTest.Chapter 15: Using Chi-Square Tests for Goodness-of-Fit (YourData, Not Your Jeans).Part V: Nonparametric Statistics: Rebels without aDistribution.Chapter 16: Going Nonparametric.Chapter 17: All Signs Point to the Sign Test and Signed RankTest.Chapter 18: Pulling Rank with the Rank Sum Test.Chapter 19: Do the Kruskal-Wallis and Rank the Sums with theWilcoxon.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.Index.