Instructors: Kamran Kaveh, Chuen Ming Mike Wong, Bohan Zhou
Course on Canvas: https://canvas.dartmouth.edu/courses/46465
Syllabus
| Week | Date | Chapter | Topic |
| 1 | 3/29 |
|
Introduction |
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3/31 | 1, 2 | Design of studies |
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4/2 | 3, 4 | Mean and SD |
| 2 | 4/5 | 5 | Normal distribution |
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4/7 | 8 | Correlation |
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4/9 | 9 | More correlation |
| 3 | 4/12 | 10 | Regression |
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4/14 | 11 | R.M.S. error |
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4/16 | 12 | Regression line |
| 4 | 4/19 | 13 | Multiplication rule |
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4/21 | 14 | Addition rule |
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4/23 | 15 | Binomial formula |
| 5 | 4/26 | 16 | Law of Large Numbers |
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4/28 | 17 | Standard error |
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4/30 |
|
Review session |
| 6 | 5/3 | 18 | Probability histogram |
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5/4 |
|
Mid-Term Exam |
|
|
5/5 | 19 | Sampling methods |
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5/7 | 20 | Sampling error |
| 7 | 5/10 | 21 | Confidence intervals |
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5/12 | 23 | Averages |
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5/14 | 26 | z-test |
| 8 | 5/17 | 26.6 | t-test |
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5/19 | 27 | Two-sample z-test |
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5/21 | 27 | Two-sample z-test |
| 9 | 5/24 | 28 | chi-squared |
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5/26 | 28 | chi-squared |
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5/28 | 29 | Significance |
| 10 | 5/31 |
|
Memorial Day (no class) |
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|
6/2 |
|
Review session |
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|
6/6 |
|
Final Exam |