STAT571B
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STAT571B - Design of Experiments
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
May be convened with
Name
Lecture
Workload Hours
3
Optional Component
No
Typically Offered Main Campus
Spring