# Statistics (STAT)

## School of Mathematics and Statistics
Faculty of Science

### STAT 2605 [0.5 credit]

#### Probability Models

Basic probability; discrete random variables with focus on binomial and Poisson random variables; continuous random variables, transformation theorem, simulating continuous random variables; exponential random variable, normal random variable, sums of random variables, central limit theorem. Elements of Markov chains, and introduction to Poisson processes.

Restricted to students in Bachelor of Computer Science, Bachelor of Mathematics in Computer Mathematics, and Bachelor of Engineering in Communications Engineering.

Precludes additional credit for

STAT 2655 and

STAT 3502.

Prerequisites:

MATH 1007 or

MATH 1004 or

MATH 1002, and

MATH 1104 or

MATH 1107 (or

MATH 1102).

Lectures three hours a week, tutorial one hour a week.