A 95% confidence level gives the overall success rate of the method used to calculate the confidence interval. That is, in of all possible samples when the conditions for inference are met, the interval computed from the sample data the true value.

A 95% confidence level means that, over many samples taken under the stated conditions, about 95% of the intervals calculated would contain the true population parameter. Here, “parameter” is the population value the interval is intended to estimate.

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