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. 2019 May 14;81(5):1189–1196. doi: 10.3758/s13414-019-01726-3

Fig. 1.

Fig. 1

Example hypothetical data showing: a how the presence of statistical outliers (red squares) can qualitatively affect the overall pattern of results, and b common errors made by existing methods of outlier identification heuristics, including misses and false alarms (FA). P values in panel a pertain to the results of between-subject t tests