Profiles in the Teaching of Experimental Design and Analysis

Abstract

AbstractThe design and analysis of experiments (DOE) has historically been an important part of an education in statistics, and with the increasing complexity of modern production processes and the advent of large-scale online experiments, it continues to be highly relevant. In this article, we provide an extensive review of the literature on DOE pedagogy, and provide five perspectives on the subject: one from each of the authors as well as a composite profile derived from a survey of DOE instructors. Our work provides a snapshot of current DOE pedagogy that showcases both the similarities and variety in how the subject is taught, as well as a look ahead at how its instruction may evolve. Supplementary materials for this article are available online.

Keywords

• Active learning
• Data science education
• Experiment
• Online experimentation
• Optimal design
• Statistics education