Course code:
STAT*3210
Section:
01
Attachments:
| Attachment | Size |
|---|---|
 Course Outline (Winter 2017) [1] | 100.19 KB |
| Course Outline (Fall 2018) [2] | 69.53 KB |
| Course Outline (Fall 2020) [3] | 123.9 KB |
| Course Outline (Fall 2022) [4] | 86.3 KB |
Subject:
Statistics [5]
Course name:
Experimental Design
Details:
This course presents the basic principles of design: randomization, replication, and local control (blocking); RCBD, Latin square and crossover designs, incomplete block designs, factorial and split-plot experiments, confounding and fractional factorial designs, response surface methodology; linear mixed model computer analysis of the designs; nonparametric methods; Taguchi philosophy.
Offered in even-numbered years.
Course term:
Fall [6]
Course level:
3000 [7]
Academic level:
Undergraduate [8]
