Part 1. Lecture 1. Describing Data and Inferring Meaning
Lecture 2. Data and Distributions : Getting the Picture
Lecture 3. Inference : How Close? How Confident?
Lecture 4. Describing Dispersion or Measuring Spread
Lecture 5. Models of Distributions : Shapely Families
Lecture 6. The Bell Curve
Lecture 7. Correlation and Regression : Moving Together
Lecture 8. Probability : Workhorse for Inference
Lecture 9. Samples : the Few, the Chosen
Lecture 10. Hypothesis Testing : Innocent Until
Lecture 11. Confidence Intervals : How Close? How Sure?
Lecture 12. Design of Experiments : Thinking Ahead
Part 2. Lecture 13. Law : You're the Jury
Lecture 14. Democracy and Arrow's Impossibility Theorem
Lecture 15. Election Problems and Engine Failure
Lecture 16. Sports : Who's Best of All Time?
Lecture 17. Risk : War and Insurance
Lecture 18. Real Estate : Accounting for Value
Lecture 19. Misleading, Distorting, and Lying
Lecture 20. Social Science : Parsing Personalities
Lecture 21. Quack Medicine, Good Hospitals, and Dieting
Lecture 22. Economics : "One" Way to Find Fraud
Lecture 23. Science : Mendel's Too-Good Peas
Lecture 24. Statistics Everywhere.