The confidence level is a percentage between 0% and 100% that measures the success rate of the method used to construct the confidence interval. If we were to draw many samples and use each one to construct a confidence interval, then in the long run, the percentage of confidence intervals that cover the true value would be equal to the

Answer 1

confidence level. For example, if you have a 95% confidence level, this means that if you were to take many samples and construct confidence intervals for each sample, approximately 95% of those intervals would contain the true population parameter. Thus, the confidence level reflects the proportion of confidence intervals that would successfully capture the actual value of the parameter being estimated in repeated sampling.