Disc 1: 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.

Disc 2: Part 1. 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.

Disc 3: 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.

Disc 4: Part 2. 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.