The percent error of the result is very high. Which means the accuracy of the data is very low. But the range of values are close to 0.1. Thus, the data is precise but not accurate.
Accuracy of a result is its closeness of the calculated or experimental value to the true value or accepted value. Thus, it tells that, how much the data can be taken to be true.
Precision is the closeness between the results of the same experiment. An experiment if done in several trails, where the result of each time are closer then it is said to be precise.
The given results has 12% error thus, it is far from the true value indicates that the data is not accurate. But the data points comes in a close range of values. Thus. the data is precise.
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