Applied Statistics and Experimental Design

4 credits

Experimental designs, including completely randomized, blocked, Latin Square, factorial, 2 to the k, fractional, nested, and split-plot; fixed effects and random effects models; confounding and aliasing. Analyses of real data, to illustrate concepts. Course overlaps with: TSTAT 422. Prerequisite: STAT 342 or STAT 391. Offered: A.