Precision error refers to the variability in repeated measurements of the same quantity. It indicates how consistently a measurement can be repeated under the same conditions. A low precision error means that the measurements are close to each other, while a high precision error suggests greater variability. This type of error is important in fields like science, engineering, and statistics, where accurate data is crucial. Precision error does not account for how close the measurements are to the true value, which is addressed by accuracy. Understanding precision error helps improve measurement techniques and data reliability.