Statistics 526 - Design Of Experiments

Planning, statistical analysis and interpretation of experiments. Designs considered include factorial designs, randomized blocks, latin squares, incomplete balanced blocks, nested and crossover designs, mixed models. Has a strong applied component involving the use of a statistical package for data analysis. Prerequisite: previous coursework in statistics.

Open to graduate BIOSTATS, MATH, and STATISTC students and undergraduate COMPSCI, MATH, and STATISTC students. STAT516CS121,INFO190SorCICS110 Must have prior knowledge of hypothesis tests including t-tests, z-tests, F-tests, confidence intervals and p-values.