Statistic (2)

Type 1 (alpha) error

- null hypothesis is falsely rejected (false positive)
- equals significance level of a test

Type 2 (beta) error

- null hypothesis is falsely accepted (false negative)

Power of a test (power of a test to detect a difference)

= 1 - beta

= 1 - (type 2 error)