Stat 340 syllabus
Design and Analysis of Experiments
Bulletin Description Principles, constructions, and analysis of experimental designs to include
completely randomized, randomized complete block, Latin square and split plot designs,
factorial experiments, designs with nested and/or crossed factors, multifactor experiments with
randomization restrictions, transformations, incomplete block designs, multiple comparisons
including contrasts, confounding, fractional replication, computer-assisted data analysis.
Prerequisite ST 210 or ST 315 . Computer Lab fee.
Text Design and Analysis of Experiments, 8th Edition by Douglas C. Montgomery , published
by Wiley , ISBN-13: 978-1118146927 ISBN-10: 1118146921
The purpose of this course is to provide students with fundamental concepts of constructions
and analysis of commonly used experimental designs. This course will cover several designs
with a major emphasis on analysis of sample data using Statistical software and interpretation of
results. This course is intended for undergraduates, graduate students and working professionals
who engage or plan to engage in applied research in their fields. Investigating single factor
designs, block designs, Factorial Experiments Nested designs, Repeated Measure Experiments
designs with corresponding ANOVA.
Last Updated October 30, 2014