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.
STAT 407 - 001
Statistical Design
Session
Regular Academic Session
Class Number
5655
Career
Graduate
Units
3 units
Grading
Graded
Description
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.
Enrollment Requirements
Restricted to Graduate School students.
Class Actions
Class Details
Instructor(s)
Timothy O'Brien
Meets
TuTh 4:15PM - 5:30PM
Dates
08/24/2026 - 12/12/2026
Room
Dumbach Hall - Room 4
Instruction Mode
In person
Campus
Lake Shore Campus
Location
Lake Shore Campus
Components
| Lecture Required |
Class Availability
Status
Open
Seats Taken
0
Seats Open
35
Class Capacity
35
Wait List Total
0
Wait List Capacity
0