SI units, measurements and physical quantities GapFill

In any experiment, there will be errors in the final result.
Errors which have an effect of different magnitudes and in different directions for each result around the mean are  systematic errorspercentage errorsabsolute errorsrandom errors. This can be due to the changing conditions in the laboratory, or from human error.
Errors which have effects which are always the same magnitude and in the same direction are  random errorspercentage errorssystematic errorsabsolute errors. This can be due to a problem with the equipment, or not calibrating the equipment correctly. A calibration error is also known as a  absolute errorzero errorsystematic errorpercentage error.
A data set that is all very close to a single value is said to have high  accuracyresolutionprecisionuncertainty.
A data set that has a mean close to the expected or 'true' value of the experiment is said to have high  uncertaintyprecisionaccuracyresolution.
An experiment that produces similar results each time it is performed by the same researcher using the same equipment is said to have high  uncertaintyreproducibilityrepeatabilityresolution.
An experiment that produces the same results when repeated using different equipment and/or researchers is said to have high  resolutionuncertaintyreproducibilityrepeatability.
A piece of equipment that allows a reading to be taken within a small range of uncertainty is said to have a high  precisionaccuracyuncertaintyresolution.