The difference between the upper limit of a confidence interval and the point estimate used in constructing the confidence interval is called the sampling error.

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Quizplus · Accepted Answer

This statement is true. The sampling error is the difference between the point estimate and the true population parameter. The upper limit of a confidence interval is one of the two bounds within which the population parameter is expected to lie with a certain level of confidence, so the difference between the upper limit and the point estimate represents the potential range of error in the estimate.

The Difference Between the Upper Limit of a Confidence Interval