STA246H5 • Computational Probability and Statistics

Description

This course covers probability including its role in statistical and computational modeling. Topics include classical and computational perspectives on cumulative, mass and distribution functions, random variables, expectation, limiting results, the normal distribution. Computational topics include generating and sampling random numbers, combinatorial objects and probability functions for simulation and statistical analysis. Additional techniques include resampling, hypothesis testing, model fit and cross validation.

Prerequisites
Exclusions
Distribution Requirement
Science
Total Instructional Hours
36L/12T
Mode of Delivery
In Class
Program Area
Statistics, Applied