MAT 135A: Probability (Fall 2017) (CRN 48568 (B01) and 63069 (B02))

     Finals week information:

Final Exam Time and Place: Thursday, Dec. 14, 10:30am-12:30pm, in 168 Hoagland, the same room where our class meets.

Review Session/ OHs:
OH: Monday, Dec. 11, noon-1pm.
Review: Wed., Dec. 13, 1:10-3pm, 1150 Hart.
Administrative OH: Wednesday, Dec. 13, noon-1pm. I will not answer questions about the material during this OH.
Please let me know by Dec. 13, 1pm, if you need any special accommodation!

Material covered on the final: Combinatorial probability, (permutations, combinations), consequences of the axioms (inclusion-exclusion), conditional probability, the two Bayes' formulas, independence of events, discrete random variables (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 (need to know how to use the table for Φ(x), for x>0, which will be provided), Poisson approximation, indicator trick. No conditional densities or conditional expectations.

Study tips: Understand all examples we did in the lectures. For exam practice, solve the Practice Final on the Lecture Notes, or the sample final provided in materials, or more of them in resources. 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.