Difference Between Accuracy and Precision

During data measurement , Accuracy and precision are two important factors to be considered .

1. Accuracy Accuracy
There are two common definitions of accuracy . In Mathematics 、 In science and Engineering , Accuracy refers to the closeness between the measured value and the true value .
ACcurate is Correct (or Close to real value)

2. precision Precision
Accuracy is the consistency of repeated measurement results . Random error is a kind of observation error .
PRecise is Repeating (or Repeatable)

3. Difference between them

• Both accuracy and precision reflect the closeness between the measurement and the actual value , But the accuracy reflects the closeness of the measurement to the known or accepted value ;
• Accuracy reflects the repeatability of measurement , Even if they are far from the accepted value . Accuracy emphasizes , Repeatability of measurement .

accuracy reflects how close a measurement is to a known or accepted value, while precision reflects how reproducible measurements are, even if they are far from the accepted value.

• Accuracy is the comprehensive expression of systematic error and random error in measurement results , It is a qualitative concept , Accuracy is the size of random error in the measurement results （ reference ： Uncertainty 、 Accuracy 、 Accuracy discrimination ）.
• Accuracy is related to random error and systematic error , The accuracy is only related to random error , Both random error and systematic error are related to the average value of countless measurements .

4. computing method
（1） Accuracy
（2） precision

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