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Dissecting Bayes: Using influence measures to test normative use of probability density information derived from a sample

Fig 5

Results of the interval estimation tasks.

A. Accuracy. The participant’s mean estimates of probability in the symmetric interval are plotted against the correct probabilities P[S]. The black thick curve is the maximum likelihood estimate of a linear-in-log-odds function fitted to the data. See text. B. Additivity. The sum of estimates in the upper and lower halves of the symmetric interval is plotted against the estimates of the symmetric interval . The color scale of the circle indicates the correct probability between 0.1 and 0.9. The black thick line is the best-fit estimate by a super additive function. For A & B, data are averaged across the participants, and the error bars indicate ±2 s.e.m.

doi: https://doi.org/10.1371/journal.pcbi.1011999.g005