I do not find a clear and simple explanation of the difference between uncertainty and error of a measurement.
Basically, in a measurement, uncertainty is defined as the standard deviation of the distribution of a large number of measured values. According to this concept, we may state that:
Result = Measured Value + Uncertainty
My question is: why is it different from an error? If I say that a certain device can measure power with 1mW of uncertainty, I intuitively think that I can make an error of 1mW on my measurement.