MATH 2319 - Mathematical Probability and Statistics

(formerly ENGR 3319)
Credit(s): 3
Lecture Hour(s): 3
Lecture Hours Schedule Type: Lecture
Tutorial Hour(s): 1

This course involves: the presentation and description of data; introduction to probability theory; Bayes Theorem; discrete and continuous probability distributions; estimation; sampling distributions; tests of hypotheses on means; variances and proportions and simple linear regression and correlation. Applications are chosen from engineering practice.

Prerequisite(s): MATH 1219 or MATH 2207 or MATH 2302 with a C- or higher.
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