(a)
Precision and
Accuracy-
- Accuracy is closeness of the
measurements to a specific value,
whereas precision is the closeness of the
measurements to each other.
- Accuracy of a set of measurements
is the degree of closeness of those obtained measurements of a
particular quantity to the true value of that quantity.
- The precision of a set of
measurements is the degree to which performed repeated measurements
under identical conditions show the same results.
- A measurement is accurate if we
obtain value close to the true value. A statistical estimate is
more accurate if we obtain estimated value closer to the true
population parameter. In this case, error is to be minimized as
much as possible.
- A measurement is precise if we get
close values through measurements done again and again. A
statistical estimate is more precise if we get closer values
through estimates using different samples again and again. In this
case, variance is to be minimized as much as possible.
Thus we can say that accuracy of
measurements implies precision but converse is not always true.
(b)
Validity and
Repeatability-
- Validity is the extent to which a
certain conclusion or measurement is well-founded and likely
corresponds accurately to the real value.
- Repeatability is the closeness of
the agreement between the results of two consecutive measurements
of the same item which are carried out under unchanged conditions
of performing measurement.