How visualizing inferential uncertainty can mislead readers about treatment effects in scientific results
Filed in Conferences ,Ideas
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STANDARD ERRORS VS STANDARD DEVIATIONS Click to enlarge There’s an ancient haiku that goes: People confuse a well-estimated mean with a certain outcome Ok, that’s not true. But Jake Hofman, Dan Goldstein, and Jessica Hullman have a new paper (recently accepted at CHI 2020) about this. They bet you’ll think the results of their paper […]
