Precision in measurement refers to the closeness of two or more measurements to each other, regardless of whether those measurements are accurate or not. Precision is a measure of statistical variability and is independent of accuracy. For example, if you weigh a given substance five times and get 3.2 kg each time, then your measurement is very precise but not necessarily accurate.
On the other hand, accuracy refers to the degree of closeness between a measurement and its true value. 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.
In summary, accuracy and precision are two important factors to consider while taking measurements. Both these terms reflect how close a measurement is to a known or accepted value. Accuracy refers to how close a measurement is to the true or accepted value, while precision refers to how close measurements of the same item are to each other.
