Accuracy and precision
measures of observational error / From Wikipedia, the free encyclopedia
The accuracy and precision of measurements have special meanings in the fields of science, engineering, industry and statistics.
- The precision of a measurement system is the degree to which repeated measurements give the same results.[1][2]
A measurement system can be accurate but not precise, precise but not accurate, neither, or both. For example, if an experiment contains a error in the way it is done, then increasing the sample size generally increases precision but does not improve accuracy. The end result would be a consistent, yet inaccurate, set of results from the flawed experiment. Eliminating the systematic error improves accuracy but does not change precision.
A measurement system is valid if it is both accurate and precise. Related terms include bias (non-random or directed effects caused by a factor or factors unrelated to the independent variable) and error (random variability).