Statistics II for Dummies
Published on 20. December 2012
408 pages
978-0-470-54388-7 (ISBN)
Description
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. 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.
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Deborah J. Rumsey
Statistics II for Dummies
Book
09/2009
Wiley
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Deborah Rumsey, PhD, is a Statistics Education Specialist and Auxiliary Faculty Member in the Department of Statistics at Ohio State University. She is also a Fellow of the American Statistical Association and has received the Presidential Teaching Award from Kansas State University. Dr. Rumsey has published numerous papers and given many professional presentations on the subject of statistics education.
Content
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.
