Objectives

• To develop skills on analysis of experiments using R;
• To design and conduct an experiment that exhibits both a treatment design and randomization design that allow for the testing of differences between the levels of a single or multiple treatment of interest;
• To specify an appropriate statistical model for observations resulting from a designed experiment;
• To conduct and correctly interpret statistical hypothesis tests for the overall effect of a treatment and for the effects of contrasts;
• To employ methods for multiple comparisons to control the experiment error rate when multiple hypothesis tests are conducted;
• To examine model assumptions using residual plots and a description of the experiment.

Syllabus

• Principles of Experimental Design and Simple Comparative Experiments
• Experiments with a Single Factor: The Analysis of Variance
• Blocking
• Factorial Design

Bibliography

• Montgomery, D. C. (2017). Design and analysis of experiments. John wiley & sons.
• Lawson, J. (2014). Design and Analysis of Experiments with R. CRC Press.
• Oehlert, G. (2000). A First Course in the Design and Analysis of Experiments. New York: W.H. Freeman. (available online for free at http://users.stat.umn.edu/ gary/Book.html)