STSCI 4140

STSCI 4140

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.

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Combined with: BTRY 4140ILRST 4140STSCI 5140

  • 4 Credits Stdnt Opt

  • 10230 STSCI 4140   LEC 001

    • MW Ives Hall 219
    • Jan 24 - May 10, 2022
    • Booth, J

  • Instruction Mode: In Person