STSCI 5140 - Applied Design

Spring. 4 credits. Student option grading.

Prerequisite: BTRY 6020 or ILRST 5110 or equivalent. Co-meets with BTRY 4140/ILRST 4140/STSCI 4140.

J. Booth.

This course begins with a discussion of some general principles of experimental design. Classical designs are covered in detail, motivated by real data applications. These include completely randomized, randomized block, balanced incomplete block, split-plot, repeated measures and fractional factorial designs. If time permits rank-based nonparametric versions of the classical designs will also be covered.

Outcome 1: Students will be able to explain the basic design principles such as randomization, blocking and stratification.

Outcome 2: Students will be able to determine an appropriate design based on design principles.

Outcome 3: Students will be able to apply standard designs to date using modern statistical software and interpret the results.