Accuracy vs Precision in Measurement

Accuracy

How close a measurement is to the true (accepted) value. Accurate results cluster around the bullseye — they are free of systematic bias.

error=xmeas−xtrue\text{error} = x_{\text{meas}} - x_{\text{true}}

Unit: unit of the quantity

Example: A scale reading 70.1 kg for a true 70.0 kg mass is accurate to 0.1 kg — even if repeated readings scatter a little.

Precision

How repeatable measurements are — how tightly repeated readings cluster together, regardless of where the cluster sits. High precision means low random scatter.

σ=∑(xi−xˉ)2N\sigma = \sqrt{\frac{\sum (x_i - \bar{x})^2}{N}}

Unit: unit of the quantity

Example: A stopwatch that always reads 9.81 s, 9.82 s, 9.81 s is precise — but if the true time was 10.50 s, it is precisely wrong.

Key differences

AspectAccuracyPrecision
Answers'How close to the truth?''How repeatable?'
Target analogyShots centered on the bullseyeShots tightly grouped (anywhere)
Ruined bySystematic error (bias)Random error (scatter)
Can you have it alone?Yes — accurate but scattered (unbiased, noisy)Yes — precise but biased (tight cluster off-target)
Improved byCalibration, better techniqueMore trials, averaging, finer instruments
Why students confuse them

A digital display with many digits looks 'accurate' but digits only show precision. A bathroom scale reading 70.135 kg is precise-looking yet can be kilograms off if never calibrated — resolution is not correctness.