[Note: the following is subject to revision.]
| Legend: | N | Notes | C | Code | H | Homework | S | Solutions | D | Discussion section |
| Date | Topic | Reading | N | C | H | S | D | ||||
| Sept | 3 | (1) | Overview; what is statistics? | Ch 1 |
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| 5 | (2) | Displaying data badly; data summaries | Ch 2 |
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| 8 | (3) | Experimental design | Ch 8 |
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| 10 | (4) | Observational studies |
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| 12 | (5) | Probability, conditional probability | Sec 3.1-3.5 |
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| 15 | (6) | Examples, Bayes's theorem |
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| 17 | (7) | Random variables, binomial distribution | Sec 3.6-3.8, App 3.2-3.3 |
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| 19 | (8) | Poisson and normal distributions | Ch 4 |
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| 22 | (9) | Multiple random variables |
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| 24 | (10) | Sampling distributions; Central limit theorem | Ch 5 |
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| 26 | No lecture | ||||||||||
| 29 | (11) | Maximum likelihood estimation |
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| Oct | 1 | (12) | Review | ||||||||
| 3 | (13) | Confidence interval (CI) for the mean | Sec 6.1-6.5 |
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| 6 | Midterm 1 [covering lectures 1-10] |
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| 8 | (14) | CIs for differences between means, CI for population SD | Sec 7.1-7.3 |
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| 10 | (15) | Tests of hypotheses | Sec 9.1-9.3 |
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| 13 | (16) | Tests for differences between means | Sec 7.4-7, 7.9-10 |
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| 15 | (17) | Calculation of sample size and power | Sec 7.8, App 7.1 |
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| 17 | (18) | Permutation tests and other non-parametric tests | Sec 4.4, 7.11-12, 9.4-7, App 7.2 |
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| 20 | (19) | Confidence interval for a proportion | Sec 6.6, App 6.2 |
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| 22 | (20) | Uses and abuses of tests |
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| 24 | (21) | Goodness of fit, multinomial distribution | Sec 10.1 |
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| 27 | (22) | Goodness of fit: "composite" hypotheses |
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| 29 | (23) | 2x2 tables, hypergeometric distribution, paired data | Sec 10.2-4, 7-9 |
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| 31 | (24) | r x k tables, sample size | Sec 10.5-6 |
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| 3 | (25) | Variances; Introduction to ANOVA | Sec 11.1-2 |
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| 5 | (26) | Review |
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| 7 | (27) | ANOVA: Permutation tests, random effects | Sec 11.3-4 |
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| 10 | Midterm 2 [covering lectures 13-23] |
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| 12 | (28) | Diagnostics, transformations and outliers | Sec 11.5 |
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| 14 | (29) | ANOVA: Multiple comparisons | Sec 11.7-8, App 11.1 |
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| 17 | (30) | ANOVA: Non-parametric methods |
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| 19 | (31) | ANOVA: Two-way analysis of variance | Sec 11.6 |
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| 21 | No lecture | ||||||||||
| 24 | (32) | Simple linear regression | Sec 12.1-2 |
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| 26 | (33) | Regression and correlation | Sec 12.5 |
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| 28 | No lecture | ||||||||||
| Dec | 1 | (34) | Simple linear regression: Tests and confidence intervals | Sec 12.3-4 |
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| 3 | (35) | Simple linear regression: prediction and calibration |
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| 5 | (36) | Multiple linear regression |
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| 8 | (37) | Non-linear regression |
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| 10 | (38) | Logistic regression |
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| 12 | (39) | Review | |||||||||
| 20 | Final exam [covering lectures 1-10,12-34] (7:45-9:45am) | ||||||||||
| Last modified: Mon Dec 15 13:36:08 2008 |