MGSC 406 - Advanced Experimental Design and Statistics

Prerequisites, MATH 203 or MGSC 209 or equivalent and behavioral and computational economics major. 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