Note on hypothesis testing in probabilistic inference tasks

Abstract

Subjects' ability to test hypotheses about the form of functional relations in probabilistic inference tasks was investigated in two experiments which varied the functional relation in the task, the hypotheses to be tested, and the validity of the cue. The results showed that the subjects used the same amount of information regardless of the validity of the cue, that nonlinear hypotheses were harder to test accurately than linear hypothesis, and that hypotheses were harder to test when the relation in the task was nonlinear than when it was linear.