AP Statistics
A 95% confidence interval is a range of values, derived from sample data, that is likely to contain the true population parameter with a probability of 95%. This interval provides an estimate of the uncertainty around a sample statistic and implies that if we were to take many samples and compute a confidence interval for each one, approximately 95% of those intervals would contain the true population parameter. This concept plays a crucial role in evaluating claims and understanding the precision of sample estimates.