CMTH 304 - Probability

Course Description

Topics include: Elements of Probability Theory. Discrete Probability Distribution. (Hyper-geometric, Binomial, Poisson). Normal Distribution and its applications. Lognormal Distribution, Multivariate Distributions, Covariance and Correlation, Moment Generating Functions, Central limit theorem and applications. A statistics computer package will be used in this course.

Requisites

Prerequisites: CMTH 310 or MTH 240 or CMTH 231
Antirequisite: MTH 410 and CMTH 380

Relevant Programs

Applied Analytics and Statistics for 21st Century Decision-Making : Required Courses (Option 1)
Financial Predictive Data Analytics : Electives (select 2)
Professional Healthcare Careers Foundations : Required Courses (select 3)
Science, Technology, Engineering, and Mathematics (STEM) : Electives (select 2)