a measure of how close a series of measurements/readings are to one another
How to increase precision
-increase sample size (calculate mean)-reduce effect of random errors-calibration-use same equipmentsystematic error does not increase precision as results still can be close to each other (precise), but just not accurate
Accuracy
A description of how close a measurement is to the true value of the quantity measured.
How to increase accuracy
-use equipment with higher resolution-larger sample size and then therefore calculate mean-read off the bottom of the meniscus-reduce systematic and random errors
Difference between precision and accuracy
Precision is values of repeated measurements are clustered and have little cluster. Accuracy is measured value is close to true value.
Repeatability
refers to the fact that a procedure can occurrepeatedly through time achieving similar/sameresults
How to increase repeatability
-standardise method-remove subjectivity/ try use quantitative results rather than qualitative
Uncertainty
an estimate of how much a measured or calculated value differs from a true value
How to decrease uncertainty
-decrease systematic and random errors-take multiple measurements and calculate mean-use equipment with higher resolution/smaller intervals +- e.g. a caliper instead of a standard ruler
Resolution
Smallest change in the input quantity being measured by a measuring instrument that gives a perceptible change in the reading of the measuring instrumente.g. resolution of a ruler is 1mm
What must you never mention in these experimental questions
Human error (does not exist)
Reproducibility
The precision obtained when measurement results are obtained by different operators using different pieces of apparatus. A measurement is reproducible when similar results are obtained by students from different groups using different methods or apparatus. This is a harder test of the quality of data.
Reducing random error
Take multiple samples to reduce the spread of data (and calculate mean) and reduce random error effects.
Reducing systematic error
This can be done by recalibrating the instrument, assessing and controlling environmental conditions and taking multiple measurements using more than one observer.
Anomaly (outlier)
A value in a set of results that is judged not to be part of the inherent variation