Error measurement refers to the process of quantifying the difference between a measured value and the true value. This is crucial in fields like science, engineering, and statistics, where accurate data is essential for making informed decisions. Common methods of error measurement include absolute error, which is the straightforward difference, and relative error, which expresses the error as a percentage of the true value. Understanding error measurement helps in assessing the reliability of data and improving measurement techniques. By analyzing errors, professionals can identify sources of inaccuracies and implement corrective actions. This ultimately enhances the quality of results in various applications, from research to manufacturing.