Bringing Visual Inference to the Classroom
Presented by: Adam Loy (Carleton College)
This month, we highlight the article Bringing Visual Inference to the Classroom by Adam
Loy in our Journal of Statistics and Data Science Education webinar series. In the
classroom, educators traditionally visualize inferential concepts using static graphics or
interactive apps. For example, there is a long history of using apps to visualize sampling
distributions. The lineup protocol for visual inference is a recent development in
statistical graphics that has created an opportunity to build student understanding.
Lineups are created by embedding plots of observed data into a field of null (noise)
plots. This arrangement facilitates comparison and helps build student intuition about the
difference between signal and noise. Lineups can be used to visualize
randomization/permutation tests, diagnose models, and even conduct valid inference when
distributional assumptions break down. In this webinar, Adam will introduce lineups and
discuss how he uses it in his introductory statistics class.
Adam Loy is an assistant professor of statistics at Carleton College in Northfield,
Minnesota. He received his PhD in statistics from Iowa State University. Adam’s research
interests include incorporating realistic computation and visualization into the
classroom, exploring the potential of visual inference, developing better visualizations
to explore complex models, and developing useful and useable R packages.
The webinar will take place on Tuesday, February 15th from 4:00-4:30pm EST.
Registration is required but is free:
We hope that you can join us for an informative discussion about innovative new ways to
visualize data with our students.
Leigh Johnson (Capital University)
Moderator, CAUSE/JSDSE Webinar Series