Statistics 311
Fall 2006
120 Ingraham Hall
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Tom Kurtz |
Jun Zhang |
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525 Van Vleck |
1270 |
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263-5563 |
262-3230 |
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Office hours: |
Kurtz |
Fri |
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Zhang |
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FINAL EXAMINATION: 10:05 AM,
Saturday, December 23, 22 Ingrahm Hall
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Sep |
5 |
T |
Introduction
6th Edition p53 Prb: 3, 8, 11 ThEx: 6, 7, 12 7th Edition p55 Prb: 3, 8, 11 ThEx: 6, 7, 12 |
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7 |
R |
Model of an experiment 2.1-4 |
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2 |
12 |
T |
Discrete sample spaces 2.5, 1.1-3 6th Edition Chap 2:
Prb 1, 5, 17, 23, 33, 36, 41 Th Ex: 11 7th Edition Chap 2:
Prb 1, 5, 17, 23, 33, 36, 41 Th Ex: 11 |
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14 |
R |
Discrete sample spaces 1.4-5
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3 |
19* |
T |
Conditional probability and Bayes formula 3.1-3 6th Edition Ch2 Prb # 27,
37 Ch3 Prb #2, 8, 19, 46, 57,
62(a) 7th Edition Ch2 Prb # 27,
37 Ch3 Prb #2, 8, 13, 50, 61,
66(a) |
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21 |
R |
Conditional probability, independence 3.4,5 |
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4 |
26 |
T |
Random variables 4.1-2 6th Edition Ch3 Prb #54, 66 6th Edition Ch4 Prb
#1, 4, 20, 21, 29 7th Edition Ch3 Prb #58, 70 7th Edition Ch4 Prb
#1, 4, 20, 21, 29 |
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28 |
R |
QUIZ (60 pts) B239 Van Vleck |
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Oct |
3 |
T |
Expectation and variance 4.3-5 Both Editions Ch4
Prb #26, 32, 40, 42, 43 |
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5 |
R |
Bernoulli trials 4.6, 4.8.1 |
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6 |
10* |
T |
Continuous distributions 5.1-3 Both Editions Ch5
Prb #2, 4, 5, 11, 13, 31 |
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12 |
R |
Continuous distributions, hazard rates 5.5-6 |
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7 |
17 |
T |
Functions of random variables 5.7 Both Editions Ch5
Prb #39, 40, 41 (due Tuesday, Oct 24) |
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19 |
R |
Joint distributions 6.1-2 Both Editions Ch 6 Prb #1, 2, 8, 9
(due Tuesday, Oct 24) Ch 6 Prb #14, 27, 28 (due Thursday, November 2) |
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8 |
24 |
T |
Problems and examples |
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26 |
R |
EXAM (100 pts)
B239
Van Vleck |
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9 |
31 |
T |
Sequences and sums of independent random variables 6.3 |
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Nov |
2 |
R |
Conditional distributions 6.4-5 Ch6 Prb #24, 29, 39, 42,
43 Handout 1,2,3 MINIQUIZ |
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10 |
7 |
T |
Expectations 7.1-2 Both Editions Ch 7 Prb: #3, 6, 21, 42, 44, 45 |
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9 |
R |
Variances, covariances, and linear approximation
7.3 (6th ed) 7.4 (7th ed) MINIQUIZ |
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11 |
14* |
T |
Law of large numbers and parameter estimation 8.1-2 |
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16 |
R |
Normal distribution and the central limit theorem 5.4,
7.7(6th),7.8(7th), 8.3 Practice: Ch5 (Both
editions) Prb #15, 18, 19 Hand in: Ch8 (Both
editions) Prb #4, 5, 6, 7, 14 MINIQUIZ |
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12 |
21 |
T |
Applications of the central limit theorem |
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23 |
R |
THANKSGIVING |
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13 |
28 |
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Problems and examples Sample
quiz Sample quiz
solutions Old Quiz with
solutions Ignore problems on the Poisson process |
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30 |
R |
QUIZ (60 pts) B239 Van Vleck |
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14 |
5 |
T |
Poisson process 4.7, 9.1 Practice: Ch 4 (Both editions) Prb:
58, 59, 61 Hand in: Ch 4 (Both editions) Prb:
64 Ch 9 ThEx/Prb: 1, 2
Poisson
Handout Prb #2, 3, 6 |
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7 |
R |
Poisson process |
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15 |
12 |
T |
Review MINIQUIZ (10
pts) |
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14 |
R |
Problems and examples |
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23 |
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Final Exam |
FINAL EXAMINATION (150 pts)
10:05 AM, Saturday, December 23, 22 Ingrahm Hall
DISCUSSION AND HOMEWORK (100 pts)
TOTAL POINTS 480
Textbook: A First
Course in Probability, 6th or 7th Edition, by Sheldon Ross