# 8.4.4. Power of a test

The power of a statistical test is the probability that the test will reject the null hypothesis when the null hypothesis is false (Type II error). Conventionally, statisticians require that the power of a test to detect a treatment effect of a specified magnitude is 80% but it may depend on the magnitude of the effects that it is required to detect.