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 World
Ch2. Data: The Factual Information
Ch3. Statistical Models: The Experimenter's View
Ch4. Comparing Model and Data
Ch5. Probability: A Fundamental Tool of Statistics
Ch6. Some Widely Used Statistical Models
Ch7. Statistical Analysis: The Statistician's View
Ch8. Examining Proportions and Success Rates
Ch9. Model and Data Checking
Ch10. Questions About the ``Average'' Value
Ch11. Comparing Two Groups, Treatments, or Processes
Ch12. Comparative Studies, Surveys, and Designed Experiments
Ch13. Comparing More Than Two Treatments or Groups
Ch14. Comparing Mean Response When There Are Three or More Treatments
Ch15. Comparing Patterns of Response: Frequency Tables
Ch16. Studying Relations Between Variables
Ch17. Prediction and Estimation: The Role of Explanatory Variables
Ch18. Questions About Variability
Ch19. Cause and Effect: Statistical Perspectives
Ch20. Studying Changes in Response over Time