A confidence interval tells the researcher that there is a 95% probability that the true population difference between means is within the interval.

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A confidence interval indicates that if the sampling were repeated many times, 95% of the calculated intervals would contain the true population difference, not that there's a 95% probability the true difference is within a single calculated interval.

A Confidence Interval Tells the Researcher That There Is a 95