The 95% confidence level is a statistical measure that indicates the degree of certainty associated with an estimate or a range of values derived from sample data. It suggests that if the same sampling process were repeated multiple times, approximately 95% of the resulting confidence intervals would contain the true population parameter. This concept is fundamental in interval estimation and helps quantify uncertainty in statistical conclusions.
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