Live lectures for Stats 210

Please send comments to Rachel Fewster.

Many thanks to Hector Gray Pozo who kindly converted these recordings from their original SWF format.

L1: Sample spaces & events	Ch 1, 3-5	MP4
L2: Probability and random variables	Ch 1, 6-10	MP4
Binomial distribution, CDF	Ch 1, 10-16	MP4
L3: Conditional probability, Independence	Ch 1, 16-21	MP4
L4: Bayes Theorem, Partition Theorem	Ch 1, 21-27	MP4
L5: Inference, Hypothesis tests	Ch 2, 33-37	MP4
L6: p-values	Ch 2,38-42	MP4
L7: Presidents and Divers	Ch 2, 42-47	MP4
L8: Limitations of p-values, Ice hockey	Ch 2, 48-52	MP4
Influence of n and x on p-value: PDF
Language for strength of evidence: PDF
L9: Likelihood	Ch 2, 52-58	MP4
L10: Estimators	Ch 2, 58-63	MP4
L11: Expectation	Ch 2, 64-72	MP4
L12: Variable transformations	Ch 2, 72-78	MP4
L13: Variance	Ch 2, 79-84	MP4
L14: One or two-tailed tests; Estimators	Ch 2/3, 85-93	MP4
L15: Geometric, NegBin	Ch 3, 93-103	MP4
L16: Poisson distribution	Ch 3, 104-111	MP4
L17: Log-lik, Subjective Models, Regression	Ch 3, 112-117	MP4
L18: Regression modelling Read p.123-128	Ch 3, 117-122	MP4
L19: Continuous r.v.s	Ch 4,123-133	MP4
L20: CDF; Exponential distribution	Ch 4, 132-137	MP4
L21: Exponential; Likelihood	Ch 4, 137-144	MP4
See L14 for one- or two-tailed tests
L22: Expectation; Change of Variable	Ch 4, 144-156	MP4
L23: Uniform, Gamma; Normal; CLT	Ch 4/5, 151-169	MP4
L24: CLT, Confidence Intervals	Ch 5, 170-177	MP4
Chapter 6: for reading.

The annotated PDFs are available from the Notes page.