STSCI 4140

Applied Design

Course Description

Course information provided by the Courses of Study 2021-2022.

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.

When Offered Spring.

Prerequisites/Corequisites Prerequisite: STSCI 3200 or equivalent.

Distribution Category (SDS-AS)

• Students will be able to explain the basic design principles such as randomization, blocking and stratification.
• Students will be able to determine an appropriate design based on design principles.
• Students will be able to apply standard designs to date using modern statistical software and interpret the results.

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