Course Description

This introduction to probability course will cover the following topics: Conditional probability and statistical independence, Bayes Theorem, random variables, mathematical expectation, variance, covariance and the correlation coefficient for two random variables, as well as examining important discrete distributions.

Course ID: STAT 132

Credit hours Theory Practical Laboratory Lecture Studio Contact hours Pre-requisite
3 3 - - - - 3 -