Calendar
The course calendar will be updated throughout the term to reflect what we have covered/will cover in class. Additionally, homework assignments and reading/viewing assingments will be posted here. You should check this page often.
Week | Date | Lecture | Assignment | Reading/Viewing |
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1 | Mon 9/12 | Naive Definition of Probability and Multiplication Rule | Chapter 1 #2, 3, 7 (Due 9/16) |
1.1–1.4 |
Wed 9/14 | Counting | 1.4 | ||
Fri 9/16 | Counting | Chapter 1 #10, 21, 25, 33, 36 (Due 9/20) |
1.4 | |
2 | Mon 9/19 | Axioms and Properties | Chapter 1 #50, 53 (Due 9/23) |
1.6 |
Wed 9/21 | Inclusion-Exclusion and Proofs | 1.6 | ||
Fri 9/23 | Conditional Probability | Chapter 2 #4, 6, 11, 13, 60 (Due 9/28 in class) |
2.1, 2.2 | |
3 | Mon 9/26 | Bayes' rule and LOTP | Chapter 2 #34, 54, 55 (Due 10/3 in class) |
2.3, 2.4 | Wed 9/28 | Independence | 2.5–2.8 |
Fri 9/30 | Condtional independence and random variables | 2.5, 3.1 | ||
4 | Mon 10/3 | Review | ||
Wed 10/5 | Exam I (Practice Exam) |
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Fri 10/7 | PMFs and CDFs | Chapter 3 #5, 14, 15, 17 (Due 10/11) |
3.1, 3.2, 3.6 | |
5 | Mon 10/10 | Named distributions and functions of RVs | Chapter 3 #30, 31, 40, 41, 44ab (Due 10/14) |
Read 3.3, 3.4, 3.5, 3.7 Watch Discrete uniform, Bernoulli, Binomial, Hypergeometric |
Wed 10/12 | Independence and Fisher's exact test | Read 3.8, 3.9 | ||
Fri 10/14 | Expectation and variance | Chapter 4 #5, 6, 9, 12, 14 (Due 10/18) | Read 4.1, 4.2, 4.4, 4.5 | |
6 | Mon 10/17 | More named ditributions | Chapter 4 #28, 34, 57, 73, 80 (due 10/26 in class) | Read 4.3, 4.7, 4.8 Watch Geometric, First success, Negative binomial, Poisson |
Wed 10/19 | Connections to the binomial and continuous RVs | Read 5.1 | ||
Fri 10/21 | No Class – MTRP | |||
7 | Mon 10/24 | Continuous RVs | Read 5.1 | |
Wed 10/26 | Review | |||
Fri 10/28 | Exam II (Practice Exam) |
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8 | Mon 10/31 | Uniform and exponential distributions | Chapter 5 #1, 5, 8, 39, 40a-c (hint for 39 and 40c, read section 5.6) (Due 11/4) |
Read 5.2, 5.5 |
Wed 11/2 | Normal and gamma distributions | Read 5.4, p. 356–359 Self-study 5.6, 5.7 |
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Fri 11/4 | Normal distribution and MGFs | Chapter 5 #21, 24, 30 and Chapter 6 #16, 18 (Due 11/8) | Watch Intro to moments and review 6.1-6.3 Read 6.4-6.5 |
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9 | Mon 11/7 | MGFs | Chapter 6 #15, 19, 24 (due 11/14 at the beginning of class) | 6.4, 6.5 |
Wed 11/9 | MGFs and joint distributions | 6.6, 7.1 | ||
Fri 11/11 | Joint distributions | Chapter 7 #1, 5, 10, 16, 17, 33, 34 (due 11/16 by 4 pm) | 7.1 | |
10 | Mon 11/14 | 2D LOTUS, covariance, correlation | 7.2, 7.3 | |
Wed 11/16 | LLN and CLT | Watch statistical inequalities and read 10.1
Read 10.2 and 10.3 after class |
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Fri 11/18 | No Class - Reading Period | |||
Finals | Tues 11/22 | Final Exam @ 3 p.m. (Practice Exam) |