Final answer:
The probability of correctly rejecting a false null hypothesis is the definition of Power in hypothesis testing.
Step-by-step explanation:
The correct answer is 4) Power. In hypothesis testing, the power of a test measures the probability of correctly rejecting a false null hypothesis. It represents the ability of a test to detect a true alternative hypothesis. A high power is desirable as it indicates a lower probability of making a Type II error, which is failing to reject the null hypothesis when it is actually false.