Statistical bias is a systematic departure of the average result of a statistical procedure from the quantity it is intended to estimate. For an estimator of a parameter, the estimator
bias is
The estimator is unbiased when this difference is zero. Bias can also result from systematic sampling,
measurement, or treatment-assignment procedures, so randomization is an important
safeguard in experimental design.