The difference between accuracy and precision can be drawn clearly on the following grounds:
1. The level of agreement between the actual measurement and the absolute measurement is called accuracy. The level of variation that lies in the values of several measurements of the same factor is called as precision
2. Accuracy represents the nearness of the measurement with the actual measurement. On the other hand, precision shows the nearness of an individual measurement with those of the others.
3. Accuracy is the degree if conformity, i.e. the extent to which measurement is correct when compared to the absolute value. On the other hand, precision is the degree of reproducibility, which explains the consistency of the measurements.
4. Accuracy is based on a single factor, whereas precision is based on more than one factor.
5. Accuracy is a measure of statistical bias while precision is the measure of statistical variability.
6. Accuracy focuses on systematic errors, i.e. the errors caused by the problem in the instrument.
As against this, precision is concerned with random error, which occurs periodically with no recognisable pattern.