Syllabus
Course Calendar -- Test dates may change during the semester
| Week | Monday | Tue | Wednesday | Thu | Friday |
|---|---|---|---|---|---|
| 1 |
Jan 5 Syllabus, Chapter 1 |
Jan 7 venn diagrams |
Jan 9 probability definition and implications |
||
| 2 |
Jan 12 counting rules |
Jan 14 more counting |
Jan 16 §2.5 |
||
| 3 |
Jan 19 Martin Luther King Jr. Day |
Jan 21 conditional probability |
Jan 23 examples |
||
| 4 |
Jan 26 odds and ends of Chapter 3 |
Jan 28 discrete random variables |
Jan 30 review |
||
| 5 |
Feb 2 Test I |
||||
| 6 |
Feb 9 Bernoulli/binomial |
Feb 11 Bernoulli/binomial |
|||
| 7 |
Feb 16 geometric/negative binomial |
Feb 18 Poisson |
Feb 20 Poisson/Hypergeometric |
||
| 8 |
Feb 23 hypergeometric |
Feb 25 sample test |
Feb 27 Test II |
||
| 9 |
Mar 2 Test II solved |
Mar 4 discrete MGF/Quiz I |
Mar 6 Project I |
||
| 10 | Mar 11 Spring Break |
Mar 13 Spring Break |
|||
| 11 | Mar 16 continuous rv's |
Mar 18 E(X),var(X),unif(a,b) |
Mar 20 exp(θ) |
||
| 12 | Mar 23 gamma(α,β), normal(μ,σ) |
Mar 25 normal, beta |
Mar 27 review |
||
| 13 | Mar 30 Test III |
Apr 1 mgf, mixed |
Apr 3 bivariate rv's |
||
| 14 | Apr 6 conditional, independence |
Apr 8 E(g(X,Y)), cov(X,Y), cor(X,Y) |
Apr 10 Quiz 2 |
||
| 15 | Apr 13 E(X|Y) |
Apr 15 multinomial, functions of rv's, project 2 |
Apr 17 CLT |
||
| 16 | Apr 20 Test IV |
Apr 22 CLT |
Apr 24 | ||
| 17 | Apr 30 |
Homework
§ 2.2 (p.20): 5, 9, 13
§ 2.3 (p.30): 17, 19, 27, 28, 29
§ 2.4 (p.47): 37, 41, 43, 45, 48, 50, 55, 58, 59, 61, 65
§ 2.5 (p.57): 67, 72
§ 2 Supplementary (p.57): as many as possible
§ 3.1 (p.69): 1,2,5,6,9,13,14,20
§ 3.2 (p.81): 23, 27, 28, 29, 37
§ 3.3 (p.87): 45, 48, 51, 53, 54
§ 3.4 (p.94): 56, 58
§ 3 Supplementary (p.96): as many as possible
§ 4.1 (p.110): 5, 11, 13, 14
§ 4.2 (p.127): 17, 18, 20, 25, 28, 36, 37, 38, 42
§ 4.4 (p.147): 43, 45, 50, 52, 55, 61, 64
§ 4.6 (p.165): 65, 66, 67, 68, 70, 77, 79, 82, 85, 88
§ 4.7 (p.175): 89, 90, 92, 93, 98, 106, 108
§ 4.8 (p.183): 109, 114, 118
§ 4 Supplementary (p.205): as many as possible
§ 5.1 (p.220): 1, 3, 4, 5, 8, 10, 11
§ 5.2 (p.230): 13, 16, 22, 23, 25
§ 5.3 (p.237): 27, 29, 30, 36, 38
§ 5.4 (p.230): 41, 45, 48, 51, 57, 60
§ 5.5 (p.256): 65, 68, 71, 72
§ 5.6 (p.279): 77, 80, 83, 91, 95, 97
§ 5.7 (p.289): 105, 106, 108, 112, 117
§ 5.10 (p.310): 137, 138, 139, 140
§ 5.11 (p.315): 147, 149, 150
§ 5 Supplementary (p.317): as many as possible
§ 6.1 (p.337): 1, 5, 6, 13, 14
§ 6.3 (p.349): 19, 21, 23
§ 6.4 (p.365): 29, 30, 35, 36, 37, 41
§ 6.5 (p.373): 46, 47, 48, 51, 55
§ 6.6 (p.379): 60, 61, 67
§ 7.3 (p.405): 5, 6, 8, 10, 13
§ 8.4 (p.465): 11, 12, 13, 14, 16, 17, 18, 27, 33
Supplementary Reading
A Probability Course for the Actuaries
Grinstead and Snell's Introduction to Probability