It is best to think of this in terms of a shooting target, when the bullet hits close to the bulls-eye, this is accuracy. In other words it is how close your result is to what it is supposed to be. Precision is about the grouping, if you fir 5 shots and one hits the bulls-eye, then on hits far above it, one below it, one to the left, and one to the right, they are not close and therefore your precision is off. However even if you hit as far from the bulls-eye as possible, but all five bullets hit in the same area, then this is precision. In other words if all of your results of your experiment always turn out about the same, it is precise.
Accuracy2 = (Repeatability) 2 + (Systematic error)2
where, systematic error =True value- mean of set of readings
"Precision" is high when you get the SAME answer every time. Accuracy is high, when you get the CORRECT answer. You can hit a target in the same place everytime which is very HIGH precision; however, if that place is not the "Bulls Eye", your accuracy is lousy.
Accuracy because it tells us how close our value is to the accepted/expected value rather than precision that only describes reproducibilty and closeness of results to One another.
Its used to help keep objects as close or precise as possible. Helps others to understand you measurements.
I high degree of precision, accuracy and speed as well as reduced waste due to manufacturing errors.
Precision measurements are those which are repeatable - so all measurements are clustered around the same value. An accurate measurement is where you are close to the true value. A measurement can be precise but not accurate. If you have a piece of string which is 75cm long. You measure it and come up with values of 60cm, 60.5cm and 59.5cm - your measurements are precise but not accurate. See also 'The Story of Measurement' by Andrew Robinson. Published by Thames and Hudson (2007)
Poor precision. Precision refers to the consistency of repeated measurements, while accuracy refers to how close a measurement is to the true value. If a speedometer consistently shows a speed that is off by a fixed amount from the actual speed (e.g., always reads 5 mph higher), it has poor accuracy. If it fluctuates widely even for the same speed, it has poor precision.
precision
The term accuracy describes how far your observation/measurement is from the correct result. Precision describes how repeatable your results are, regardless of their accuracy..
Accuracy and precision are synonyms. They both mean without error, they are exactly right, No more and no less.
Precision is how close your measurements are. Accuracy is how close your measurements are to the actual measurement.
Precision is a writer's attention to accuracy in world choice.
No because precision is when you trie to put your efeert toit
Standard error is a measure of precision.
precision is a writers attention to accuracy in word choice. (apex)
Precision and accuracy are two ways that scientists think about error. Accuracy refers to how close a measurement is to the true or accepted value. Precision refers to how close measurements of the same item are to each other. Precision is independent of accuracy.
One would compare bike insurance by putting them side by side and then going through each detail with accuracy and precision. The one that is better for you is the one you should use.
Accuracy STD on the other hand measures precision.