Live lectures for Stats 210
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L1: Sample spaces & events |
Ch 1, 3-5 |
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L2: Probability and random variables |
Ch 1, 6-10 |
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Binomial distribution, CDF |
Ch 1, 10-16 |
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L3: Conditional probability, Independence |
Ch 1, 16-21 |
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L4: Bayes Theorem, Partition Theorem |
Ch 1, 21-27 |
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L5: Inference, Hypothesis tests |
Ch 2, 33-37 |
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L6: p-values |
Ch 2,38-42 |
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L7: Presidents and Divers |
Ch 2, 42-47 |
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L8: Limitations of p-values, Ice hockey |
Ch 2, 48-52 |
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Influence of n and x on p-value: PDF |
Language for strength of evidence: PDF |
L9: Likelihood |
Ch 2, 52-58 |
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L10: Estimators |
Ch 2, 58-63 |
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L11: Expectation |
Ch 2, 64-72 |
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L12: Variable transformations |
Ch 2, 72-78 |
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L13: Variance |
Ch 2, 79-84 |
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L14: One or two-tailed tests; Estimators |
Ch 2/3, 85-93 |
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L15: Geometric, NegBin |
Ch 3, 93-103 |
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L16: Poisson distribution |
Ch 3, 104-111 |
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L17: Log-lik, Subjective Models, Regression |
Ch 3, 112-117 |
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L18: Regression modelling Read p.123-128 |
Ch 3, 117-122 |
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L19: Continuous r.v.s |
Ch 4,123-133 |
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L20: CDF; Exponential distribution |
Ch 4, 132-137 |
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L21: Exponential; Likelihood |
Ch 4, 137-144 |
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See L14 for one- or two-tailed tests |
L22: Expectation; Change of Variable |
Ch 4, 144-156 |
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L23: Uniform, Gamma; Normal; CLT |
Ch 4/5, 151-169 |
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L24: CLT, Confidence Intervals |
Ch 5, 170-177 |
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Chapter 6: for reading. |
The annotated PDFs are available from the Notes page.
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