MAT 320 - Probability and Statistics I
Introduction to probability and statistics, probability axioms, conditional probability, probability distributions, random variables, probability densities, multivariable distributions and densities, sampling distributions, central limit theorem, inferences concerning the mean, type I and type II errors, inferences concerning variances, estimation of variances, inferences concerning proportions, analysis of frequency tables, goodness of fit, regression.
Special Information: Students may earn at most 4 credits toward graduation from MAT 221 and MAT 320.
Prerequisite(s): 'C-' or better in both MAT 250 and MAT 252.
Last Term Offered: Fall 2017