Final Exam Time and Place: Tuesday, December 9, 6pm-8pm, in 168 Hoagland, the same room where our class meets.

Review Session/ OHs:
OH: Monday, Dec. 8, noon-1pm. Please let me know of any special circumstances by the end of this office hour.
Review: Monday, Dec. 8, 1:10-3pm, 168 Hoagland.

Material covered on the final: Combinatorial probability, (permutations, combinations), consequences of the axioms (inclusion-exclusion), conditional probability, computing probabilities by conditioning and Bayes' formula, independence of events, discrete random variables (probability mass function, expectation, variance, binomial, Poisson, geometric), continuous random variables (density, expectation, variance, distribution of a function, uniform, exponential, normal), joint distributions (incl. geometric problems), independence of random variables, central limit theorem (no need to evaluate Φ(x), for x>0; you can leave any expression of the form Φ(x), for x>0, unevaluated in your answers), approximation of binomial with Poisson, indicator trick. Conditional densities or conditional expectations (last part of Chapter 7) will not be on the exam.

Study tips: Understand all examples we did in the lectures. For exam practice, solve the latest sample final, then look at the solutions and solve it again. For more practice, there are several more past Final exams on the resources page, and the Practice Final on pages 104-111 of the Lecture Notes. For additional practice, you can look at problems at the end of each chapter in the Notes, and homework problems. You also need to make sure that you know how to solve problems from the first two midterms.