MGSC 406 - Advanced Experimental Design and Statistics

Prerequisites, MATH 203 or MGSC 209 or equivalent, and advanced standing. Statistics as employed in the construction and optimization of experimental designs and subsequent analysis of data collected. Topics will include between-designs; one- and two-way ANOVA from a linear modeling and least squares perspective; power planning; general tests of contrasts; within-designs, and repeated measures designs. Letter grade. (Offered spring semester.) 3 credits