Accuracy and precision are two terms used to describe the quality of measurements or information. Accuracy refers to how close a measurement or information is to the true value, while precision refers to how close measurements are to each other. A measurement can be precise but not accurate if the results are clustered tightly around a wrong value. Conversely, a measurement can be accurate but not precise if it consistently yields the correct value but with significant variations. The ideal measurement is both accurate and precise, with results close to the true value and with minimal variability between them. In summary, accuracy is the degree of correctness, while precision is the degree of repeatability or consistency of a measurement or information.