MATH 219 - Introduction to the Design of Experiments

Institution:

University of Richmond

Subject:

Description:

The basic theory and principles related to the design of modern scientific experiments. Topics include: analysis of variance (ANOVA) for experiments with a single factor, multiple comparisons of treatment means, factorial experiments, blocking, randomized block designs, Latin square designs, random effects models, analysis of covariance, nested models, and other topics. Prerequisite(s): Either Mathematics 119, Psychology 200, Chemistry 300, Business Administration 301, or Mathematics 330. Unit(s): 1

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.richmond.edu

Phone Number:

(804) 289-8000

Regional Accreditation:

Southern Association of Colleges and Schools

Calendar System:

Semester

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