Stat 340 syllabus
Design and Analysis of Experiments
Course 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. Computer Lab fee.
Prerequisites: ST 210 Minimum Grade of C or ST 310 Minimum Grade of C or ST 315 Minimum Grade of C or ST 320 Minimum Grade of C
Suggested Textbook: Design and Analysis of Experiments by Douglas C. Montgomery, Ninth Edition, Wiley
Learning outcomes: Upon the successful completion of the course a student will:
know fundamental concepts of constructions and analysis of commonly used experimental
designs and their applications
know to use statistical software and to interpret results
investigate single factor designs, block designs, Factorial Experiments Nested designs, Repeated Measure Experiments designs with corresponding ANOVA.