Difference between power and confidence level.

Confidence level refers to how often a confidence interval will contain the true population parameter across repeated samples (typically 95%).

Power, on the other hand, is the probability of correctly rejecting the null hypothesis when it is false $(1 − β)$. While confidence level deals with the reliability of interval estimates, power pertains to hypothesis testing and the ability to detect effects.