The third edition of PDQ Statistics provides an overview of all major statistical methods, giving the reader a good understanding of statistics and how they are used in research articles. It covers the major categories - variable and descriptive statistics, parametric statistics, non-parametric statistics, and multivariate statistics. The explanations are clear, succinct, and loaded with practical examples.

ContentsPrefaceIntroductionPart One Variables and Descriptive StatisticsChapter 1. Names and Numbers: Types of VariablesChapter 2. Describing DataPart Two Parametric StatisticsChapter 3. Statistical InferenceChapter 4. Comparison of Means of Two Samples: The t TestChapter 5. Comparison among Many Means: Analysis of VarianceChapter 6. Relationship between Interval and Ratio Variables: Linear and Multiple RegressionChapter 7. Analysis of CovarianceChapter 8. Variations on Linear Regression: Logistic Regression, General Linear Model, and Hierarchical Linear ModelsChapter 9. Time Series AnalysisPart Three Nonparametric StatisticsChapter 10. Nonparametric Tests of SignificanceChapter 11. Nonparametric Measures of AssociationChapter 12. Advanced Nonparametric MethodsPart Four Multivariate StatisticsChapter 13. Introduction to Multivariate StatisticsChapter 14. Multivariate Analysis of VarianceChapter 15. Discriminant Function AnalysisChapter 16. Exploratory Factor AnalysisChapter 17. Path Analysis and Structural Equation ModelingChapter 18. Cluster AnalysisCanonical CorrelationRepriseResearch DesignsIndexUnabashed Glossary