Statistics are an important part of building up models of the world, and determining good courses of action. Yet often times statistics are complicated, counter-intuitive, and esoteric. By changing how we visually present complicated statistics to viewers, we can promote more responsible decision-making, and let viewers build up more accurate mental models of complicated statistical phenomena.
Related Publications:
Michael Correll, Michael Gleicher. Error Bars Considered Harmful: Exploring Alternate Encodings for Mean and Error. IEEE Transactions on Visualization and Computer Graphics. 20, 12, pp. 2142-2151. Dec 2014 (InfoVis ’14).
Michael Correll, Michael Gleicher. Error Bars Considered Harmful. IEEE Visualization Poster Proceedings (InfoVis ’13).