Final answer:
In hypothesis testing, there are four possible outcomes of your decision to reject or not reject the null hypothesis: correct decision, Type I error, Type II error, and Power of the Test.
Step-by-step explanation:
In hypothesis testing, there are four possible outcomes of your decision to reject or not reject the null hypothesis:
- The decision is not to reject the null hypothesis when the null hypothesis is true (correct decision).
- The decision is to reject the null hypothesis when, in fact, the null hypothesis is true (incorrect decision known as a Type I error).
- The decision is not to reject the null hypothesis when, in fact, the null hypothesis is false (incorrect decision known as a Type II error).
- The decision is to reject the null hypothesis when the null hypothesis is false (correct decision, which is called the Power of the Test).
Each of these outcomes occurs with a particular probability. The probability of a Type I error is usually denoted by alpha (α), and it represents the probability of rejecting the null hypothesis when the null hypothesis is true.