Can a measurement be precise but not accurate?

Yes; a measurement can be precise but not accurate when repeated readings are consistent with each other but systematically off from the true value.

Precision means getting nearly the same result every time you measure, while accuracy means getting the right result close to the true value. Imagine throwing darts and landing all of them clustered together but far from the bullseye: that is precise but not accurate. This often happens because of a biased instrument, a wrong zero point, or a consistent error in technique. Fixing it usually means calibrating the instrument, correcting the procedure, or finding and removing the source of the systematic error.

Students often think more repeated measurements will make a result accurate, but repeats only improve precision and do not remove a bias; the fix is to calibrate or check against a standard. Another common mistake is confusing random error with systematic error, so people expect scattered measurements to average to the true value when a steady offset remains; the solution is to diagnose the offset and correct it before averaging. Some assume an instrument is error-free because it looks precise, so always verify with a known standard or reference.

For more videos and resources on how to tell precision from accuracy and how to calibrate instruments, check out w w w dot gumball degree dot com.

Precision vs Accuracy: Can They Differ?

1. Calibrate the instrument
2. Correct the procedure
3. Find and remove systematic error

Common Measurement Mistakes and Fixes

1. Repeats don’t fix bias
2. Confusing random and systematic error
3. Assuming precise instruments are error-free

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