The (unknown) disparity between the retained value and the true value is referred to as a statistical error. Because accuracy is defined as "the inverse of the whole error, including bias and variation," it is instantly related with accuracy (Kish, Survey Sampling, 1965). The lower the accuracy, the higher the error.