3.00 Credits
(Prerequisite: STAT B201 or consent of instructor) A second course in statistics for students requiring knowledge of advanced procedures for descriptive and inferential statistics. Topics include assessing normality, modeling nonlinear data, conditions and assumptions for inference, and application of multiple inference techniques. Other topics chosen from: statistical quality control, random variables, binomial and geometric distributions, sampling and simulation, and non-parametric tests.