| 1-3 | Distributions derived from the normal distribution; the method of maximum likelihood | Read chapter 6 and chapter 8, section 8.5.3 |
| 4-6 | Binomial confidence intervals | Read the handout on binomial confidence intervals (PDF) |
| 7-9 | Linear least squares | Read chapter 14, sections 14.1, 14.2 |
| 10, 11 | Estimation of parameters and fitting of probability distributions | Read chapter 8, sections 8.2-8.5 |
| 12 | Review for exam 1 | |
| 13 | Exam 1 | |
| 14, 15 | Estimation of parameters and fitting of probability distributions (cont.) | Read chapter 8, sections 8.2-8.5 |
| 16-18 | Testing hypotheses and assessing goodness of fit | Read chapter 9, sections 9.1, 9.2, 9.4, 9.5 |
| 19-21 | The analysis of variance | Read chapter 12 |
| 22, 23 | The analysis of categorical data | Read chapter 13 |
| 24 | Review for exam 2 | |
| 25 | Exam 2 | |
| 26 | The analysis of categorical data (cont.) | Read chapter 13 |
| 27-29 | Summarizing data | Read chapter 10 |
| 30-32 | Comparing two samples | Read chapter 11 |
| 33, 34 | The Bayesian approach to parameter estimation | Read chapter 8, section 8.6; chapter 11, section 11.2.4 |
| 35 | Review for exam 3 | |
| 36 | Exam 3 | |
| 37, 38 | Comparing two independent samples (Bayesian approach) | Read chapter 8, section 8.6; chapter 11, section 11.2.4 |
Subscribe to the OCW Newsletter
