ST431 - Introduction to Experimental Design
- Prerequisites: ST 305
- Term & Frequency: Every spring
- Student Audience: Primarily undergraduates majoring or minoring in Statistics
- Credit: 3 credits
- Recent Texts: None required, but several recommended
- Recent Instructors: William Swallow
- Background and Goals: Undergraduates in Statistics and a broad range of other disciplines will have frequent encounters with designed experiments as students and after graduation. They may design experiments themselves, or need to understand and critically evaluate reports of designed experiments by others. This course provides basic understanding to evaluate whether the experiment design was appropriate, the analysis of the data correct, and the conclusions justified.
- Content: A number of basic designs are considered: completely randomized, randomized block, Latin square, nested, nested factorial, split plot and incomplete block. Attention is given not only to conducting basic tests of hypotheses, but also to appropriate follow-up procedures depending on the nature of the treatment set.
- Alternatives: None
- Subsequent Courses: None
S1 2017 Sections:
|-||/ - |