Final answer:
Type II error occurs when we fail to reject the null hypothesis when it is actually false.
Step-by-step explanation:
In hypothesis testing, there are four possible outcomes based on the truthfulness of the null hypothesis. Type II error occurs when we fail to reject the null hypothesis when it is actually false. This means that we incorrectly conclude that there is no difference or effect, when in fact there is.