Statistical Power is the probability that a test will correctly reject a false null hypothesis. In other words, it's the likelihood that if there actually is a difference (in the case of A/B testing, a difference between the two versions being tested), the test will detect it. A test with a high statistical power is more reliable and less likely to produce false negative results.
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