A 95% confidence level indicates that if we were to take many random samples and calculate a confidence interval for each sample, approximately 95% of those intervals would contain the true population parameter. This level is widely used in statistics as it balances precision and reliability, allowing researchers to make informed conclusions about the data while acknowledging uncertainty.
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