MA 220 - Probability & Statistics for Engineers & Scientists

Lecture Hours: 3
Lab Hours: 0
Credit Hours: 3

This is a calculus-based treatment of probability and statistics designed for scientists and engineers. Topics would include: classification of data by graphical and numerical methods; intro to probability to include definitions and theorems; discrete random variables including binomial and Poisson distributions, expectation and variance calculations; continuous random variables to include uniform, exponential, normal, Weibull, Gamma, and Chi-squared distributions; hypothesis testing and least-squares linear regression. Prerequisite(s): MA 124.