This course teaches analysis of balanced experimental designs with fixed, random, crossed, and nested factors; factorial, nested, nested factorial, split plot, split block, and repeated measures designs; and fixed and mixed effects models, residual analysis, and post hoc mean comparisons. Additional coursework is required for those enrolled in the graduate-level course.
PREREQ: Earn a minimum grade of C- one of the following:
Please read the grading rubric before submitting homework.
This course and the code involved are made available with an MIT license. A list of acknowledgments is available.