| Lecture | Date | Topics | Reading | Work | Info |
|---|---|---|---|---|---|
| 1 | 6/15 | Introduction, grading policies, definitions | |||
| 2 | Data collection principles | 1 | |||
| 3 | 6/16 | Observational study designs | |||
| 4 | Experimental designs | ||||
| 5 | 6/17 | Examining numerical data | |||
| 6 | Graphs, weekly review | ||||
| 6/18 | Quiz 1 | HW1 | |||
| 7 | 6/22 | Introduction to probability | 2 | R graphs | |
| 8 | Conditional probability | ||||
| 9 | 6/23 | Discrete distributions | |||
| 10 | Discrete distributions | ||||
| 11 | 6/24 | Rules of Expectation | |||
| 12 | Expectation, weekly review | ||||
| 6/25 | Quiz 2 | HW2 | |||
| 13 | 6/29 | Random variables | 3 | ||
| 14 | Random Variables | ||||
| 15 | 6/30 | More expectation | |||
| 16 | Normal distribution | ||||
| 17 | 7/1 | Normal approximation for the Binomial distribution | |||
| 18 | Normal methods, weekly review | ||||
| 7/2 | Quiz 3 | HW3 | |||
| 19 | 7/6 | Central Limit Theorem (CLT) | 4 | ||
| 20 | CLT | ||||
| 21 | 7/7 | Confidence Intervals (CI) for mean, with z | |||
| 22 | CI for proportion | ||||
| 23 | 7/8 | CI's; Introduction to Hypothesis Testing for one mean | |||
| 24 | Weekly review | ||||
| 7/9 | Quiz 4 | HW4 | |||
| 25 | 7/13 | Testing for one mean, with z (σ known) | |||
| 26 | Using t with CI's | ||||
| 27 | 7/14 | Using t with CI's and test of mean (σ unknown -- using s) | 5 | ||
| 28 | Inference for 2 means and 2 proportions | 5,6 | |||
| 29 | 7/15 | 2 sample methods (means and proportions) | |||
| 30 | Weekly review | ||||
| 7/16 | Quiz 5 | HW5 | |||
| 31 | 7/20 | 2 sample methods for means | 5 | ||
| 32 | Simple Linear Regression (SLR) | ||||
| 33 | 7/21 | SLR | 7 | ||
| 34 | Analysis of Variance (ANOVA) | 5 | |||
| 35 | 7/22 | Weekly review | |||
| 36 | Weekly review | ||||
| 7/23 | Quiz 6 | HW6 |
The schedule is subject to change if necessary during the production course (once production is done, this schedule is static).