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. STATISTC 516 Must have prior knowledge of hypothesis tests including t-tests, z-tests, F-tests, confidence intervals and p-values.

This course will be offered fully remote and is open to undergraduate majors in Mathematics who took Stat 516, graduate students in the Statistics MS Program and graduate students in Biostatistics.

This course is offered through Mount Ida's campus.