A Type II error occurs whenever a researcher fails to reject the null hypothesis, which means accepting the null hypothesis even though the alternative hypothesis is true. This type of error confirms an idea that should have been rejected by claiming two observances are the same when they are actually different. A Type II error happens whenever the decision is to fail to reject the null hypothesis.