Signal Detection Theory (sdt) is used to analyze data coming from
experiments where the task is to categorize ambiguous stimuli which
can be generated either by a known process (called the signal) or
be obtained by chance (called the noise in the sdt framework). In
particular sdt is used to analyze experiments where a binary answer
(e.g., Yes" vs No") needs to be provided. For example, if we need
to decide if an education program is effective or not, we can use sdt.
Keywords: Signal Detection Theory, False Alarm, Hit, Miss, cor-
rect rejection, d0, Criterion, Ideal Observer, ROC curve, Type I & II
errors.