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Accuracy: The "trueness" or the closeness of the analytical
result to the "true" value. It is constituted by a combination
of random and systematic errors (precision and bias) and cannot be quantified
directly. The test result may be a mean of several values. An accurate
determination produces a "true" quantitative value, i.e. it is
precise and free of bias.
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Accuracy: A
measure of how close an experimental result is to the true value.
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Accuracy refers to the degree of conformity and correctness of
something when compared to a true or absolute value
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Accuracy refers to how closely the measured
value of a quantity corresponds to its "true" value.
•
Accuracy means getting a result that is
close to the real answer
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Precision: The closeness with which results of replicate analyses of a
sample agree. It is a measure of dispersion or scattering around the
mean value and usually expressed in terms of standard deviation,
standard error or a range (difference between the highest and
the lowest result).
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Precision: A
measure of how exactly the result is determined. It is also a measure of how reproducible
the result is.
1. Absolute precision:
indicates the uncertainty in the same units as the observation
2.
Relative precision: indicates the uncertainty in terms of a
fraction of the value of the result
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precision refers to
a state of strict exactness.
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Precision expresses
the degree of reproducibility or agreement between repeated measurements.
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Precision means getting a similar result every time you try.
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