Statistics
Statistical hypothesis testing
Null hypothesis - general statement that nothing is happening.
Errors
Type 1 - False positive. The mistaken rejection of an actually true null hypothesis. βAn innocent person is convicted.β
Type 2 - False negative. The mistaken acceptance of an actually false null hypothesis. βA guilty person is not convicted.β
A crossover error rate (CER) is the point at which both types are equal. A lower CER means something is more accurate.