In the app you can render lineups to introduce students to Q-Q plots
This app is intended to introduce students to the logic behind hypothesis tests for an association. After exploring the app, students should understand that identifying the data plot indicates that either the data are systematically different from what would be expected if no association exists, or that they were 'lucky' in their guess. Further, students should understand that variability exists when there is no association, which is why we need to rely on inferential procedures to help us understand whether we observed signal or noise.
I recommend building a guided activity for your students. Before this activity I recommend discussing how Q-Q plots are constructed and read. You can also use the 'Rorschach protocol' (i.e. generating only null plots) to help students see a little variability before applying Q-Q plots to a data-driven problem. I recommend a guided activity with the following steps:
Below are additional resources to help you learn about visual inference and how it can be used in the classroom:
Adam Loy - aloy.rbind.io
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