Final answer:
The accuracy of a measurement system refers to Stability, Bias, Linearity, Repeatability, and Reproducibility. Accuracy relates to how close the measured value is to the actual value, whereas precision refers to the consistency of the result when measurements are repeated. Such attributes combined ensure reliable and quality outcomes in a measurement system.
Step-by-step explanation:
The accuracy of a measurement system addresses components such as Stability, Bias, Linearity, Repeatability, and Reproducibility. The accuracy of a measurement is how close it is to the true value, while the precision relates to the closeness of agreement between repeated measurements.
The Stability refers to the capacity of remaining unchanged by outside influences. The Bias is the systematic error that contributes to the discrepancy between the expected and actual measurement, while Linearity concerns with the outcome changing linearly with changes in the input. Repeatability and Reproducibility reflect the consistency of the results when the measurement is repeated.
Measurement systems should possess both accuracy and precision, in combination with the qualities named above for reliable outcomes.
Learn more about Accuracy and Precision