MGSC 406 - Advanced Experimental Design and Statistics

Prerequisites, MATH 203 or MGSC 209 or equivalent, with a minimum grade of C-. Advanced statistics as employed in the construction and optimization of experimental designs and subsequent analysis of data. Between-designs and one- and two-way ANOVA in detail from a linear modeling and least squares perspective (to match basic econometrics); power planning; general tests of contrasts; within-designs and repeated measures designs. Letter grade. (Offered spring semester.) 3 credits