The margin of error equals the sum of an estimator's squared bias plus its variance.

Question

Quizplus · Accepted Answer

The margin of error is typically defined as a measure of the precision (or degree of uncertainty) of an estimator and is influenced by factors such as sample size and variability. It is not directly related to the bias or variance of an estimator, although these can impact the overall accuracy of the estimate. The formula for margin of error typically depends on the distributional assumptions and statistical method used to compute the estimate, and may involve factors such as the standard error or degrees of freedom.

The Margin of Error Equals the Sum of an Estimator's