Accuracy refers to the closeness of a measured value to a standard or known true value. Precision refers to the closeness of two or more measurements to each other. A measurement system can be precise but not accurate, accurate but not precise, neither, or both. These two concepts are independent of each other in measurement theory.
Accuracy vs. Precision
The distinction between accuracy and precision is a cornerstone of measurement science (metrology). Accuracy describes the degree of conformity to a true value, which is often an accepted reference standard. It is primarily affected by systematic errors, also known as bias. A systematic error causes measurements to be consistently wrong in the same direction. For example, a miscalibrated scale that always reads 5 grams higher than the true weight has a systematic error and is therefore inaccurate, even if it gives the exact same reading every time (making it precise).
Precision, on the other hand, describes the reproducibility or repeatability of measurements. It is affected by random errors, which are unpredictable fluctuations in the readings of a measurement apparatus. These errors can be caused by factors like electronic noise in an instrument, slight variations in experimental conditions, or observer inconsistencies. A high-precision instrument will produce very similar results when measuring the same quantity multiple times under the same conditions, regardless of whether those results are close to the true value. The common analogy used to illustrate this is a target. Accuracy is how close the shots are to the bullseye, while precision is how tightly grouped the shots are. It’s possible to have a tight cluster of shots (high precision) far from the bullseye (low accuracy).
Type
Disruption
Utilisation
Precursors
- Development of the scientific méthode
- Carl Friedrich Gauss’s work on the theory of errors and the method of least squares
- Early developments in metrology and standardization of units
- Philosophical distinctions between truth and consistency
Applications
- scientific experimentation
- industrial quality control
- engineering design and fabrication
- medical diagnostics
- computer simulations
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Historical Context
Accuracy vs. Precision
(if date is unknown or not relevant, e.g. "fluid mechanics", a rounded estimation of its notable emergence is provided)
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