2013 Live Lectures for Stats 210

The 2013 lectures go through the material of Chapter 1 more thoroughly than the 2017 course, and might be useful for people who have not studied Stats 125 or other probability courses.

These lectures were recorded in Shockwave Flash, which is no longer supported by Adobe. As of 2022, they can be played in Chrome or Firefox using the Ruffle browser extension.

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L1: Sample spaces & events Ch 1, 3-10     Play     SWF

L2: Partitions, Probability Ch 1, 10-17     Play     SWF

L3: Partition Theorem      Ch 1, 18-24     Play     SWF

L4: Conditional probability     Ch 1, 25-29     Play     SWF

L5: Examples; Bayes Theorem     Ch 1, 29-34     Play     SWF

L6: Independence, RVs      Ch 1/2,35-52   Play     SWF

L7: Binomial distn      Ch 2, 53-56     Play     SWF

L8: Cumulative Distribution Function     Ch 2, 57-62     Play     SWF

L9: Hypothesis Tests      Ch 2, 62-68     Play     SWF

L10: Presidents and divers     Ch 2, 68-75     Play     SWF

L11: Ice hockey and Likelihood      Ch 2, 75-82     Play     SWF

L12: Likelihood     Ch 2, 82-87     Play     SWF

       Influence of n and x on p-value: PDF
L13: Estimators; Expectation      Ch 2, 88-97     Play     SWF

L14: Expectation, Transformations     Ch 2, 97-105     Play     SWF

L15: Variance      Ch 2, 106-111     Play     SWF

L16: Estimator mean and variance     Ch 2, 112-118     Play     SWF

L17: Geometric, NegBin     Ch 3, 119-130     Play     SWF

L18: Poisson distribution Read p.139-144     Ch 3, 131-138     Play     SWF

L19: Probability Density Function     Ch 4, 139-150     Play     SWF

L20: Exponential distribution     Ch 4, 151-157     Play     SWF

L21: Exponential examples; E(X), Var(X)     Ch 4, 157-166     Play     SWF

L22: Uniform; Change of Variable     Ch 4, 167-171     Play     SWF

L23: Change of Variable; Gamma; Normal     Ch 4/5, 172-185     Play     SWF

L24: Central Limit Theorem     Ch 5, 185-191     Play     SWF

Chapter 6: for reading.

The annotated PDFs are available from the Notes page.