what is difference accurcy and precision?

Accuracy and precision are two important factors to consider when taking data meansurements. Both accuracy and precision reflect how close a measurement is to an actual value, but 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. 

Key Takeaways: Accuracy Versus Precision

• Accuracy is how close a value is to its true value. An example is how close an arrow gets to the bull's-eye center.
• Precision is how repeatable a measurement is. An example is how close a second arrow is to the first one (regardless of whether either is near the mark).
• Percent error is used to assess whether a measurement is sufficiently accurate and precise.

Take experimental measurements for another example of precision and accuracy. If you take measurements of the mass of a 50.0-gram standard sample and get values of 47.5, 47.6, 47.5, and 47.7 grams, your scale is precise, but not very accurate. If your scale gives you values of 49.8, 50.5, 51.0, and 49.6, it is more accurate than the first balance but not as precise. The more precise scale would be better to use in the lab, providing you made an adjustment for its error.

Mnemonic to Remember the Difference

An easy way to remember the difference between accuracy and precision is:

• ACcurate is Correct (or Close to real value)
• PRecise is Repeating (or Repeatable)
• Accuracy, Precision, and Calibration

How to keep your weighing scale accurate

Accuracy is measured by a series of tests under controlled conditions. Tolerances (“an allowable amount of variation of a specified quantity”) are set and serve as a standard where the results must fall. There are many tests that can help determine accuracy; remember that accuracy is not a standalone value, but rather the summation of these specifications. Earlier in the post, we mentioned repeat-ability will not be correct is accuracy is not. That makes it a testable variable. Linearity is another one. Linearity and repeat-ability are the most common specifications used when determining and comparing accuracy between scales or balances. Keep your instrument’s applications and purpose in mind when conducting tests. Depending on the weighing needs, you might need to conduct more tests, or different ones.  For example, creep (the change over time when the object being weighed stays on a load cell for a long time) is a significant factor in a farmer’s silos, but not so much in applications like shipping. It is one of many factors that ultimately affect accuracy, but it might also not be one that is important to you.

if you have interests in our truck scale weighbridge, please refer to this website: https://www.intelweighing.com/product/en/list/Truck-Scale-1.html

or send email to : sales@intelweighing.com