We shall follow chapters 1-8 and 10 of the textbook, with a few omissions listed at the bottom of this page.
The additions in the last column are pdf additions to the textbook, so be sure to save (and perhaps print) a copy of these for studying.
Week and Topic | Chapter | applets | Additions |
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1. graphs and sample statistics | 1.1-1.3 | onevar, meanmedian | chart choice, mode, weighted mean, grouped data |
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2. normal densities, scatter plots, | 1.4 (also pp 273-274),    | normalcurve, gapminder, twovar | uniform density, covariance |
correlation, two-way tables | 2.1-2.2, 2.5 | ||
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3. data sources, samples, experiments    | 3 | randomsample | chapter 3 slides |
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4. probability | 4 | probability | counting |
  | 5. random variables | 5.1-5.2 | summation, coefficient of variation, functions of RVs |
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Reading Week |
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6. binomial distribution | 5.3 | binomial calculator/grapher, clt_binomial | |
  | 7. sampling distributions | 6 | simulation, lawoflargenumbers, clt_samplemean |
  | 8. inference | 7.1 | confidenceinterval, testsignificance |
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9. inference (continued) | 7.2-7.3 | statsig, pvalue | Nature article arguing against significance testing |
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10. inference for means | 8 | t-statistic calculator, power | |
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11. inference for proportions | 10 | ciprop | Chapter 10 Guide |
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12. least-squares regression | 2.3-2.4 | correlationregression, twovar | What is Econometrics? Rhinelander Regression Notes |
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Topic |   | Pages |
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assessing normality |   | 52-56 |
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Poisson distributions | 261-265 | |
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prediction intervals | 383-388 | |
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the bootstrap | 412-413 | |
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relative risk | 534 |
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