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Previous papers have investigated the risk of making false test decisions as a function of Test Uncertainty Ratio, Confidence Interval, and Guardbands for fairly idealized distributions. This paper continues that pursuit by assessing the impact less than ideal distributions have on the Consumer Risk and Producer Risk. Specifically, the increase in risk associated with systematic bias in the unit under test and the measurement standard is investigated.