MAT 416 - Design and Analysis of Experiments

Description
The course deals with statistical principles behind the design and analysis of experiments. Analysis of variance techniques are examined for hypothesis testing and simultaneous confidence intervals. Other topics include block designs, factorial experiments, random effects, mixed models, etc.
Prerequisite
MAT 316

Credits: 1

Course Attribute(s):
Major: Data Science