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Confidence intervals

August 24, 2020 By editor

Statistical confidence intervals are almost always misinterpreted. Consider the following statement. "The prevalence of the disease P has a 95% confidence interval of 1% <= P <= 5%." This is commonly taken to imply that there's a 95% chance that the true prevalence is between 1% and 5%. This isn't the case. Confidence intervals represent uncertainty about the interval, rather than … [Read more...]

Filed Under: Data science Tagged With: confidence intervals, statistics

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