The confidence interval obtained will always correctly estimate the population parameter.

Question

Quizplus · Accepted Answer

While the confidence interval aims to provide a range of values in which the population parameter is likely to fall, there is always a chance that the interval does not capture the true population parameter. The level of confidence (e.g. 95%) only refers to the proportion of intervals that would be expected to contain the true population parameter if the sampling and estimation procedures are repeated many times. Therefore, there is always some degree of uncertainty and potential for error in any single interval estimate.

The Confidence Interval Obtained Will Always Correctly Estimate the Population