Designing Experiments

Course Topics

Well-designed experiments can help researchers of all disciplines obtain results that are informative, efficient, and easy to analyze. Open-source data sets (through Minitab) will be utilized to demonstrate several useful techniques, designs, and methods of analysis for use in a variety of subjects. Researchers and students from all departments and levels of statistical experience are welcome.

The Designing Experiments Short Course will focus on the following key topics:

1) Basics of observational studies and experiments: correlation, causation, and variation

2) Fundamental principles of experimental design: randomization, replication, and blocking

3) Common experimental designs and their analyses: one-way and two-way layouts, randomized block design, ANOVA, and split plot design

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