Probability

An introduction to the concepts of probability and their applications, covering both discrete and continuous random variables. Probability spaces, elementary combinatorial analysis, densities and distributions, conditional probabilities, independence, expectation, variance, weak law of large numbers, central limit theorem, and numerous applications. (concurrent or prior MATH 0223 or by waiver) 3 hrs. lect./disc.

Schedule
8:40am-9:30am on Tuesday, Thursday, Friday (Sep 11, 2023 to Dec 11, 2023)
Location
Warner Hall 105
Instructors