Accuracy,or sampling error,is equal to one-half of the confidence interval width.

Question

Quizplus · Accepted Answer

This statement is true. The accuracy, or sampling error, is a measure of how close a sample statistic (such as the mean or proportion) is to the true population parameter. The confidence interval provides a range of values within which the true parameter is likely to fall, given the sample data and a specified level of confidence. The width of the confidence interval reflects the precision of the estimate, with greater precision indicated by a narrower interval. The accuracy is the degree to which the estimate is expected to be correct, and is typically expressed as half the width of the confidence interval. Therefore, the statement that accuracy is equal to one-half of the confidence interval width is correct.

Accuracy,or Sampling Error,is Equal to One-Half of the Confidence Interval