3.8.A—Identify Type I and Type II errors

Identify Type I and Type II errors.

• A Type I error occurs when there is convincing statistical evidence that the alternative hypothesis is true (due to the small p-value), but it is not.
• A Type II error occurs when there is not convincing statistical evidence that the alternative hypothesis is true (due to the large p-value), but it is.
• The power of a hypothesis test is the probability that a hypothesis test will correctly reject the false null hypothesis.