BTRY 4140

BTRY 4140

Course information provided by the Courses of Study 2020-2021.

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 BTRY 6020 or ILRST 5110 or equivalent.

Outcomes
  • 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

Enrollment Information
Syllabi: none
  •   Regular Academic Session.  Combined with: ILRST 4140STSCI 4140

  • 4 Credits Stdnt Opt

  •  2292BTRY 4140  LEC 001

  • Instruction Mode: In Person
    Enrollment limited to students who are able to attend in-person classes in the Ithaca area.

Enrollment Information
Syllabi: none
  •   Regular Academic Session.  Combined with: ILRST 4140STSCI 4140

  • 4 Credits Stdnt Opt

  • 20991BTRY 4140  LEC 002

    • MWOnline Meeting
    • Feb 8 - May 14, 2021
    • Booth, J

  • Instruction Mode: Online