Measurement uncertainty refers to the doubt that exists about the result of a measurement. It acknowledges that no measurement can be perfectly accurate due to various factors, such as instrument limitations, environmental conditions, and human error. Understanding this uncertainty helps in assessing the reliability of the measurement and making informed decisions based on the data. To quantify measurement uncertainty, different methods can be used, including statistical analysis and calibration against known standards. This process is essential in fields like science, engineering, and quality control, where precise measurements are critical for achieving desired outcomes and ensuring safety and compliance.