# 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.