A 99% confidence interval is a statistical range that is likely to contain the true population parameter with a confidence level of 99%. This means that if you were to take many samples and create a confidence interval from each sample, approximately 99% of those intervals would capture the true parameter. The width of this interval reflects the uncertainty associated with estimating the parameter, influenced by sample size and variability.
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