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. Adamís 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