Accuracy refers to how close a measurement is to the true value, while precision indicates the consistency of repeated measurements. Systematic errors, which are consistent and predictable, can significantly affect accuracy but may not impact precision, leading to consistently inaccurate results. Random errors, on the other hand, can affect both accuracy and precision by introducing variability in measurements, resulting in both inaccurate and inconsistent results. Together, these errors highlight the importance of identifying and minimizing them to improve the reliability of measurements.
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