General course arrangements are detailed here.
For grades, please log on to Sakai.
Slides on Limit laws (weak law of large numbers, central limit theorem) (December 6)
Michael Huber and Andrew Glen's paper justifying the use of the exponential random variable to model the waiting time to the next occurrence of a rare event in baseball (November 4)
Slides on miscellaneous discrete random variables (September 27)
Slides on wars and the Poisson random variable (September 25)
Slides on Discrete random variables (September 18)
Slides on counting (September 13)
Slides on independence (September 11)
Slides on Bayes formula (September 9)
Slides on conditional probability examples (September 6)
Slides on The paradox of the two children (September 4)
Slides on continuous uniform probability model (September 2)
Slides on discrete models of probability (August 30)
Slides on basics of probability (August 28)
If you haven't yet got a copy of the textbook, you can print off the first chapter here
Assignment 11, not to be turned in. Here are some questions from Chapter 5, suitable for preparing for the final: Problems 5.1 (a and b only), 5.4, 5.8, 5.9, 5.10 and 5.11
Assignment 10 due Monday, December 9. Solutions are here; here are supplementary files 1 and 2.
Assignment 9, not to be turned in (practice for second midterm). Solutions are here; here is the supplementary file.
Assignment 8 due Friday, November 15. Solutions are here; here is the supplementary file.
Assignment 7 due *Wednesday*, November 6. Solutions are here; here are supplementary files 1 and 2.
Assignment 6 due Friday, October 11. Here are solutions.
Assignment 5 due Monday, October 7. [CORRECTED VERSION: typo in problem 11 fixed.] Here are solutions, and here is the supplementary solutions file.
Assignment 4 due Friday, September 27. Here are solutions, and here is the supplementary solutions file.
Assignment 3 due Friday, September 20. Here are solutions, and here is the supplementary solutions file.
Assignment 2 due Friday, September 13. Here are solutions.
Assignment 1 due Friday, September 6. Here are solutions.
Quiz 5 (December 9).
Quiz 4 (November 4).
Quiz 3 (October 9).
Quiz 2 (September 25).
Quiz 1 (September 11).
Exam 2: Here is the second midterm, with solutions. Details: in class, Friday November 22, closed book, covering the following sections:
Exam 1: Here is the first midterm. Details: in class, Monday October 14, closed book, covering the following sections:
1.45--3.45pm, DeBartolo 217, Wednesday December 18
Note that this is not the usual room!
What is covered? The final is cumulative. It will cover:
Note on Section 4.1: There is a lot of material, and a lot of formulae, in Section 4.1. I don't expect you to know these formulae. What I expect is that you can compute the density of a function g(X) (or g(X,Y)) of a known randon variable X (or rvs X, Y), by following these steps:
Common random variables: Here are the basic families of random variables that you should know about. For each, you should know:
What's the format? Similar to the practice exams below, and similar to the midterms.
Resources for preparation: Apart from reviewing old quizzes, homeworks, exams and practice exams, here are a couple of practice finals: