FINAL EXAM next Friday, March 23rd, |
8.30am in Braun Auditorium |
Lab_1 : Week of 1/24 | Lab1sol.pdf |
Lab_2: Week of 2/7 | Lab2sol.pdf |
Lab_3:Week of 3/5 | Lab3sol.pdf |
Lab 4: review session |
This week starting3/12/01 |
Homework 1:These exercices should be done by January 24th and handed in before lecture: Rice, Page 225-234. 1,8,19,22,45,50. 1,8,19,22,45,50. | Solutions: Page 1 Page 2 | |
Homework 2: Rice, Chapter 7, Page 226-234. 18,26,28,42,46,51(continues 50). | Solutions | |
Homework 3: These exercices should be done by Monday, February 11th and handed in before lecture: Rice, Chapter 8, Page 293-296. 11,12,14,28,42. | Solutions | |
Homework 4: These exercices should be done by Wednesday, February 21st and handed in before lecture: Rice, Chapter 8, Page 293-297. 38,47,51,53. | word file scanfile1 scanfile2 | |
Homework 5: These exercices should be done by Wednesday, March 7th and handed in before lecture: Rice, Chapter 8, Page 298. 54,56,57,58, 62. | Solutions | |
Homework 6 :Beware, there is a typo, I gave the posteriro distributions that you have to find, the priors are those I gave in class, lecture 19. These exercices should be done by Friday, March 16th . |
Solutions | |
Lab 4: review session |
Lecture summaries |
Review of Probability116 |
Lecture 1 -Paradigms,Bias |
Lecture 2 Simple Random Sampling, Var(mean). |
Lecture 3 Estimation of Var(mean). |
Lecture 4 Sampling Distribution, Normal Approximation,Confidence Interval. |
Lecture 5 Estimating a ratio, Approximation methods, Delta method. |
Lecture 6 Expectation and mean of a variance. |
Lecture 7 Stratified Random Sampling, optimal allocation. |
Lecture 8 Parameter Estimation, Moment Generating Functions |
Method of Moments |
Maximum Likelihood,mulitinomial. |
MLE for Hardy Weinberg. |
Efficiency,Cramer Rao Bound. |
Lecture 17 Sufficiency, exponential families. | Lecture 18. Bayesian Paradigm. |
Examples of Bayesian computations |
Lecture 20 Hypothesis Testing. |
Lecture 21 Neyman Pearson Lemma. |
Testing the multinomial, examples. |
Tests-summary | . .Lecture 23. Some Pivotals. |