Final answer:
A measurement with a large error component will exhibit very low accuracy, which is the measure of how close the measurement is to the true or accepted standard. Uncertainty is a quantitative measure of deviation from expected values and is related to both accuracy and precision.
Step-by-step explanation:
The measurement that includes a large error component will have very low accuracy. Accuracy is defined as how close a measured value is to the true value or accepted standard. On the other hand, precision refers to how reproducible measurements are, even if they are not close to the true value. When a measurement has a large error, this indicates a considerable discrepancy from the true or expected value, leading to low accuracy.
Uncertainty is related to both precision and accuracy. It quantifies how much measured values deviate from an expected value. A measurement system that lacks accuracy or precision will have high uncertainty. Conversely, more uncertainty suggests more considerable variation and therefore less reliability in the measurements. The difference between a measured value and the true value is referred to as discrepancy or measurement error.