Random vs systematic errors
Two error categories.
Random error. Unpredictable. Scatters readings about true value. Averaging multiple measurements REDUCES random error.
Systematic error. Consistent bias (all readings too high or too low). NOT reduced by averaging. Sources: calibration error, zero error, parallax, environment.
Precision. Repeated readings are close to each other (LOW random error).
Accuracy. Readings are close to TRUE value (LOW systematic error).
Can be either combination.
- Precise + accurate: tight cluster around true value.
- Precise + inaccurate: tight cluster but off-centre.
- Imprecise + accurate: scattered but centred on true value.
- Imprecise + inaccurate: scattered AND off-centre.
Cambridge tip. Mark scheme rewards both correct precision/accuracy AND error type identification.
- Random: scatter, reduce by averaging.
- Systematic: bias, averaging doesn't help.
- Precision vs accuracy.