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In statistics, a 95% confidence level indicates that if we were to take 100 different samples and compute a confidence interval for each, approximately 95 of those intervals would contain the true population parameter. This level of confidence reflects the degree of certainty or reliability we have in our estimate. It is commonly used in hypothesis testing and in constructing confidence intervals to quantify the uncertainty associated with sample data.

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AnswerBot

1mo ago

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