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Lecture 2: Data and distributions: getting the picture

Meaning from data: statistics made clear. Lecture 3: Inference: how close? How confident?

Meaning from data: statistics made clear. Lecture 4: Describing dispersion or measuring spread

Meaning from data: statistics made clear. Lecture 5: Models of distributions: shapely families

Meaning from data: statistics made clear. Lecture 6: The bell curve.

Meaning from data: statistics made clear. Lecture 7: Correlation and regression: moving together

Meaning from data: statistics made clear. Lecture 8: Probability: workhorse for inference

Meaning from data: statistics made clear. Lecture 9: Samples: the few, the chosen

Meaning from data: statistics made clear. Lecture 10: Hypothesis testing: innocent until

Meaning from data: statistics made clear. Lecture 11: Confidence intervals: how close? How sure?

Meaning from data: statistics made clear. Lecture 12: Design of experiments: thinking ahead.

Meaning from data: statistics made clear. Lecture 13: Law: you're the jury

Meaning from data: statistics made clear. Lecture 14: Democracy and Arrow's impossibility theorem

Meaning from data: statistics made clear. Lecture 15: Election problems and engine failure

Meaning from data: statistics made clear. Lecture 16: Sports: who's best of all time?

Meaning from data: statistics made clear. Lecture 17: Risk: war and insurance

Meaning from data: statistics made clear. Lecture 18: Real estate: accounting for value

Meaning from data: statistics made clear. Lecture 19: Misleading, distorting, and lying

Meaning from data: statistics made clear. Lecture 20: Social science: parsing personalities

Meaning from data : statistics made clear. Lecture 21: Quack medicine, good hospitals, and dieting

Meaning from data: statistics made clear. Lecture 22: Economics: "one" way to find fraud

Meaning from data: statistics made clear. Lecture 23: Science: Mendel's too-good peas

Meaning from data: statistics made clear. Lecture 24: Statistics everywhere