How are accuracy and precision related to relative error and relative deviation?

Accuracy refers to how close a measured value is to the true value, while precision indicates the consistency of repeated measurements. Relative error quantifies the accuracy by comparing the difference between the measured value and the true value to the true value itself, often expressed as a percentage. In contrast, relative deviation measures the precision by comparing the standard deviation of a set of measurements to the mean of those measurements. Both concepts highlight different aspects of measurement quality, where accuracy is linked to relative error and precision to relative deviation.