through a hypothesis-testing, it is also important to consider the probability of a type II error, failing to reject the null hypothesis (H0) when it is false, which is denoted by β. Then the type II error probability is,

β = P(type I error) = P(fail to reject the null hypothesis H0 when it is actually false)