The Power of a Test
- Steve Phelps
The Power of a test is the probability of the test correctly rejecting a false null hypothesis. How can you increase the power of a test?
- You can hope for an extreme sample (drag point A to the right).
- You can increase the alpha level, thus increasing the probability of rejecting the null hypothesis regardless of it being false or not (drag point B to the left).
- You can increase the sample size (as long as it stays less than 10% of the population size).