  In the classroom, we traditionally visualize inferential concepts using
static graphics or interactive apps. For example, there is a long history of
using apps to visualize sampling distributions. Recent developments in
statistical graphics have created an opportunity to bring additional
visualizations into the classroom to hone student understanding. Specifically,
the lineup protocol for visual inference provides a framework for students see
the difference between signal and noise by embedding a plot of observed data in
a field of null (noise) plots. Lineups have proven valuable in visualizing
randomization/permutation tests, diagnosing models, and even conducting valid
inference when distributional assumptions break down. This paper provides an
overview of how the lineup protocol for visual inference can be used to hone
understanding of key statistical topics throughout the statistics curricula.
