An estimator is unbiased if A)the standard error is small. B)the expected value of the estimator is equal to the true population parameter. C)the p-value is less than .05. D)the expected value of the estimator is equal to the sample statistic.

Question

Quizplus · Accepted Answer

An estimator is unbiased if the expected value of the estimator is equal to the true population parameter, which means that the estimator is not systematically overestimating or underestimating the true value. Standard error and p-value are measures of precision and significance, respectively, but they do not necessarily reflect unbiasedness. The expected value of the estimator should not be confused with the sample statistic, which is a single observed value from the sample, whereas the expected value is a theoretical concept that represents the average value of the estimator over repeated sampling.

An Estimator Is Unbiased If