Table of Contents

1. What is statistics? Part 1: Descriptive measures and probability 2. Graphical descriptive methods 3. Art and science of graphical presentations 4. Numerical descriptive measures 5. Probability 6. Data collection and sampling 7. Random variables and discrete probability distributions 8. Continuous probability distributions Part 2: Statistical inference 9. Statistical inference: An introduction 10. Sampling distributions 11. Estimation: Describing a single population 12. Hypothesis testing: Describing a single population 13. Additional Tests for nominal data: Chi-squared tests 14. Simple linear regression and correlation 15. Multiple regression Part 3: Applications 16. Time series analysis and forecasting 17. Index numbers Appendix A: Summary solutions for selected exercises Appendix B: Solutions to self-correcting exercises Appendix C: Tables