Applied and Interpreting Statistics: A Comprehensive Guide

Statistics textbook, offering a description of the basis, application and interpretation of statistics. New to the second edition: extensions of the multivariate applications, logistic regression, and log-linear methodology. Assumes readers have access to a statistical computing package. DLC: Research--Statistical methods.

Ch1. The Importance of Statistics in an Information-Based WorldCh2. Data: The Factual InformationCh3. Statistical Models: The Experimenter's View Ch4. Comparing Model and DataCh5. Probability: A Fundamental Tool of Statistics Ch6. Some Widely Used Statistical ModelsCh7. Statistical Analysis: The Statistician's ViewCh8. Examining Proportions and Success RatesCh9. Model and Data Checking Ch10. Questions About the ``Average'' Value Ch11. Comparing Two Groups, Treatments, or ProcessesCh12. Comparative Studies, Surveys, and Designed ExperimentsCh13. Comparing More Than Two Treatments or Groups Ch14. Comparing Mean Response When There Are Three or More Treatments Ch15. Comparing Patterns of Response: Frequency TablesCh16. Studying Relations Between VariablesCh17. Prediction and Estimation: The Role of Explanatory VariablesCh18. Questions About VariabilityCh19. Cause and Effect: Statistical PerspectivesCh20. Studying Changes in Response over Time