Confidence intervals provide a range of values within which the true population parameter is expected to fall, with a certain level of confidence (usually 95%). For example, if a study on a new cancer drug reports a 95% confidence interval for the mean survival time, it means that if the study were repeated multiple times, 95% of the intervals would contain the true mean survival time.
