Description
Statistical Design
This course provides students with a thorough introduction to statistical experimental design and to the statistical methods used to analyze the resulting data. The concepts of comparative experiments, ANOVA and mean separation procedures will be reviewed; blocking (complete and incomplete) will be discussed, as will be factorial designs, fractional factorial designs, and confounding. The course will focus on biometric applications such as clinical trials, HIV studies, and environmental and agricultural research, but industrial and other examples will occasionally be provided to show the breadth of application of experimental design ideas.
Details
Grading Basis
Graded
Units
3
Component
Lecture - Required
Offering
Course
STAT 407
Academic Group
College of Arts and Sciences
Academic Organization
Mathematical Sciences
Enrollment Requirements
Restricted to Graduate School students.