Course Name
Introduction to Probability and Statistics
Description
Students will explore probability theory, descriptive and inferential statistics at an introductory level; applications are taken from a wide range of disciplines. Topics include descriptive analysis, scientific visualization, sets, permutations and combinations, probability, discrete and continuous distributions (e.g. binomial, normal, t), confidence intervals, hypothesis testing, correlation and linear regression. Not for credit towards a major, concentration, or minor in Mathematics.
NB
Credit is granted for only one of MATH/STAT 102, 108, 203.