If a test statistic
is used as an estimate for a population parameter
then in general we will not expect the value of
to equal
– the estimator may be biased for
The bias of the estimator is given by![]()
An estimator
for a population parameter
is an unbiased estimator for
if![]()
An unbiased estimator is always better than a biased estimator, and an estimator is better in general if the bias is small and/or the variance is small.
For example
is a biased estimator for
but
is an unbiased estimator for
The relationship between
and
is
so that
The bias of
is then![]()
If we have two estimators for the mean of a population,
and
with
then
and
so both
and
are unbiased estimators for
but
![]()
and
![]()
The variance of
is less than the variance of
so
is a better estimator for![]()