Statistical Glossary
Weighted Mean:
The weighted mean is a measure of central tendency . The weighted mean 
of a set of 
values 
is computed according to the following formula:
 |
where
are non-negative coefficients, called “weights”, that are ascribed to the corresponding values .
are non-negative coefficients, called “weights”, that are ascribed to the corresponding values 
.Only the relative values of the weights 
matter in determining the value of the weighted mean. In other words, if you multiply each weight by a positive value 
and recalculate the weighted mean with new weights 
, then the value remains the same.
The greater the weight in respect to other weights, the greater the contribution of the corresponding datum 
into the resultant value of the weighted mean.
The weighted mean is used, for example, to aggregate a set of scores (e.g. examination scores on different subjects) to a single resultant score. In this case, the magnitude of the weights reflects the importance of their respective subjects. (For this reason, the weighted mean is sometimes named the aggregate mean ).
Besides its use as a descriptive statistic , the weighted mean is also used to construct filters .
See also Mean values (comparison) and the online short course Basic Concepts in Probability and Statistics