STAT571B

STAT571B - Design of Experiments

Mathematics Graduate UA - UA General

Course Description

Principles of designing experiments. Randomization, block designs, factorial experiments, response surface designs, repeated measures, analysis of contrasts, multiple comparisons, analysis of variance and covariance, variance components analysis.

Min Units

3

Max Units

3

Repeatable for Credit

No

Grading Basis

GRD - Regular Grades A, B, C, D, E

Career

Graduate

Course Attributes

CE - CL (Cross Listed), GIDP - ABS (Applied Biosciences), GIDP - STATD (Statistics and Data Science)

Cross Listed Courses

Name

Lecture

Workload Hours

3

Optional Component

No

Typically Offered Main Campus

Spring