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ST 515 – Design and Analysis of Planned Experiments (3)
Principles of experimental design; uses, construction and analysis of completely randomized, randomized block and Latin square designs; covariates; factorial treatments, split plotting; random effects and variance components. This course may be subject to Enforced Prerequisites that restrict registration into the course. Check the offerings below for more information.
For more information, contact OSU Ecampus at 800-667-1465 (option 1) or ecampus.ess@oregonstate.edu.
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Term | CRN | Sec | Cr | P/N | Instructor | Type | Status | Cap | Avail | WL Cap | WL Avail |
---|---|---|---|---|---|---|---|---|---|---|---|
W25 | 35993 | 400 | 3 | Rott, K. | Online | Open | 20 | 14 | 5 | 5 | |
Registration Restrictions Major Restrictions: -6160, -CG17 (Data Analytics, Data Analytics) Recommended: ST 352 or ST 411 or ST 511 | |||||||||||
Class Notes: | |||||||||||
Syllabus: Available in Canvas to students enrolled in this course. Or contact instructor to request syllabus. (Note: An ONID account is required to view OSU's online directory.) | |||||||||||
W25 | 35994 | 401 | 3 | Rott, K. | Online | Open | 20 | 15 | 5 | 5 | |
Registration Restrictions Major Restrictions: +6160, +CG17 (Data Analytics, Data Analytics) Recommended: ST 352 or ST 411 or ST 511 | |||||||||||
Class Notes: | |||||||||||
Syllabus: Available in Canvas to students enrolled in this course. Or contact instructor to request syllabus. (Note: An ONID account is required to view OSU's online directory.) |
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