# The Power of a Test

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).

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