Meaning from data: statistics made clear

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.