MATH 282AApplied Statistics I
General theory of linear models with applications to regression analysis. Ordinary and generalized least squares estimators and their properties. Hypothesis testing, including analysis of variance, and confidence intervals. Completion of courses in linear algebra and basic statistics are recommended prior to enrollment.
Prerequisites
From the catalog: “graduate standing or consent of instructor. (S/U grades permitted.)”