ACCURACY
A measurement result is considered accurate if it is judged to be close to the true value.
CALIBRATION
Marking a scale on a measuring instrument.
This involves establishing the relationship between indications of a measuring instrument and
standard or reference quantity values, which must be applied.
For example, placing a thermometer in melting ice to see whether it reads 0 °C, in order to check if
it has been calibrated correctly.
DATA
Information, either qualitative or quantitative, that has been collected.
ERRORS
See also uncertainties.
Measurement error
The difference between a measured value and the true value.
Anomalies
These are values in a set of results which are judged not to be part of the variat ion caused by
random uncertainty.
Random error
These cause readings to be spread about the true value, due to results varying in an unpredictable
way from one measurement to the next.
Random errors are present when any measurement is made, and cannot be corrected. The effect
of random errors can be reduced by making more measurements and calculating a new mean.
Systematic error
These cause readings to diff er from the true value by a consistent amount each time a
measurement is made.
Sources of systematic error can include the environment, methods of observation or instruments
used.
Systematic errors cannot be dealt with by simple repeats. If a systematic error is suspected, the
data collection should be repeated using a different technique or a different set of equipment, and
the results compared.