The value expressing the margin of error associated with a measurement is the absolute uncertainty. This uncertainty is presented in the same units as the measurement itself. For example, a measurement of 10.5 cm 0.2 cm indicates that the true value likely lies between 10.3 cm and 10.7 cm. This ” 0.2 cm” is the expression of the measurement’s absolute uncertainty.
Determining this margin of error is crucial for accurately conveying the reliability of experimental data. It allows for a realistic interpretation of results, influencing conclusions drawn from the measurement. A smaller margin suggests greater precision, while a larger one signals lower confidence in the exactness of the recorded value. Quantifying this uncertainty allows for better comparisons between different measurements and is fundamental to robust scientific analysis.