A 95 percent confidence interval estimate indicates that there is a 95 percent chance that the true population value will fall within the range defined by the upper and lower limits.

Question

Quizplus · Accepted Answer

A 95 percent confidence interval estimate indicates that if we were to take many samples and build a confidence interval from each, we would expect 95 percent of those intervals to contain the true population parameter. It does not mean there is a 95 percent chance the true value falls within a specific interval calculated from one sample.

A 95 Percent Confidence Interval Estimate Indicates That There Is