AP Statistics
Power is the probability of correctly rejecting a false null hypothesis in a statistical test. It reflects a test's ability to detect an effect when one truly exists, emphasizing the importance of sample size and effect size in achieving reliable results. Higher power means a greater likelihood of finding a statistically significant result, making it a crucial consideration when designing experiments and interpreting findings.