Probability and Statistics for Science and Engineering (MATH 2700)

This course explores the mathematical theory of probability and statistics and is intended for students in Science, Engineering, Computer Science and Business degree programs. Students are introduced to the concepts of descriptive statistics, laws of probability, probability distributions for discrete, continuous and jointly distributed random variables, laws of expectation, estimation, hypothesis testing, correlation and regression.

Pre-requisites: MATH 1200 with a C- or equivalent.

course outline

* Note: The CRNs listed below could be restricted to specific program areas.

To register for this course, check the information for your program: