error in which the data values obtained from a sample deviate by a fixed amount from the true values within the population. For example, a scale that repeatedly provides readings 0.5 g lower than the true weight would be demonstrating systematic error. Systematic errors tend to be consistently positive or negative and may occur as a result of sampling bias or measurement error. Compare random error.