B-BOYS AND B-GIRLS ACROSS THE GLOBE!
In the fields of science, engineering, industry and statistics, the[1]accuracy of a measurement system is the degree of closeness of measurements of a quantity to its actual (true) value. The[2]precision of a measurement system, also called reproducibility or repeatability, is the degree to which repeated measurements under unchanged conditions show the same results.[3] Although the two words can be synonymous in colloquial use, they are deliberately contrasted in the context of the scientific method.
Accuracy indicates proximity of measurement results to the true value, precision to the repeatability or reproducibility of the measurementA measurement system can be accurate but not precise, precise but not accurate, neither, or both. For example, if an experiment contains a systematic error, then increasing the sample size generally increases precision but does not improve accuracy. Eliminating the systematic error improves accuracy but does not change precision.
A measurement system is called valid if it is both accurate and precise. Related terms are bias (non-random or directed effects caused by a factor or factors unrelated by the independent variable) and error (random variability), respectively.
The terminology is also applied to indirect measurements, that is, values obtained by a computational procedure from observed data.
In addition to accuracy and precision, measurements may have also a measurement resolution, which is the smallest change in the underlying physical quantity that produces a response in the measurement.
In the case of full reproducibility, such as in the case of rounding a number to a representable floating point number, the word precision has a meaning not related to reproducibility. For example, in the IEEE 754-2008 standard it means the number of bits in the significand, so it is used as a measure for the relative accuracy
MAKE SOME NOISE 4 THE CLASS OF THE NEW GENERATION IS YOU! R U READY!?
HUMBLE CALLEN BOWE :)
