A value that agrees closely with the other values but do not match the actual value is said to be precise but not accurate.
What is the precision?
A dataset is said to be precise when the values are close to each other in a given set of replicate measurements. On the other hand, accuracy has to do with a situation in which the values are close to the true value.
In this case, a value that agrees closely with the other values but do not match the actual value is said to be precise but not accurate.
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