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  absolute errorspercentage errorssystematic 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  absolute errorsrandom errorssystematic errorspercentage 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  systematic errorzero errorabsolute errorpercentage error.
A data set that is all very close to a single value is said to have high  resolutionprecisionuncertaintyaccuracy.
A data set that has a mean close to the expected or 'true' value of the experiment is said to have high  precisionuncertaintyresolutionaccuracy.
An experiment that produces similar results each time it is performed by the same researcher using the same equipment is said to have high  uncertaintyrepeatabilityreproducibilityresolution.
An experiment that produces the same results when repeated using different equipment and/or researchers is said to have high  uncertaintyreproducibilityrepeatabilityresolution.
A piece of equipment that allows a reading to be taken within a small range of uncertainty is said to have a high  accuracyprecisionresolutionuncertainty.