
(3 credits – TG) 3 hours lecture, 1 hour tutorial
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: Mathematics 1219 with a "C-" or better.