STAT3793Probability and Mathematical Statistics I (A)3 ch (3C)

The first half of a two-part sequence covering various topics in probability and statistics. This course provides an introduction to probability theory and the theory of random variables and their distributions. Probability laws. Discrete and continuous random variables. Means, variances and moment generating functions. Sums of random variables. Joint discrete distributions. Central Limit Theorem. Examples drawn from engineering, science, computer science and business. 

Prerequisites: MATH 1013 (or B+ or higher in MATH 1001) and one of STAT 1793, STAT 2263, STAT 2593, BA 1605, PSYC 2901; or permission of the instructor.