Abstract:
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In his 1996 American Statistician paper "Depicting Error," Wainer points out that communicating data without some measure of their precision can lead to misinterpretation and incorrect inferences. Wainer and others have suggestions for depicting error in displays aimed at data analysts, but these techniques may be judged as too complex for a lay audience. Many graphs appearing in media publications for the general public either ignore the uncertainty of estimates, or use visualizations that introduce "chart junk" that is ineffective in helping the viewer interpret the data. We will discuss ways in which to bridge the gap and thus offer better ways to visualize uncertainty for the general public.
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