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Weighted Arithmetic Mean

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The Concise Encyclopedia of Statistics

The weighted arithmetic mean is a measure of central tendency of a set of quantitative observations when not all the observations have the same importance.

We must assign a weight to each observation depending on its importance relative to other observations.

The weighted arithmetic mean equals the sum of observations multiplied by their weights divided by the sum of their weights.

HISTORY

The weighted arithmetic mean was introduced by Cotes, Roger in 1712. His work was published in 1722, six years after his death.

MATHEMATICAL ASPECTS

Let \( { x_1,x_2,\ldots,x_n } \) be a set of n quantities or n observations relative to a quantitative variable X to which we assign the weights \( { w_1,w_2,\ldots,w_n } \).

The weighted arithmetic mean equals:

$$ \bar{x} = \frac{\sum\limits_{i=1}^n x_i \cdot w_i}{\sum\limits_{i=1}^n w_i}\:. $$

DOMAINS AND LIMITATIONS

The weighted arithmetic mean is now used in economics, especially in consumer and producer price indices, etc.

EXAMPLES

Suppose that...

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REFERENCES

  1. Cotes, R.: Aestimatio Errorum in Mixta Mathesi, per variationes partium Trianguli plani et sphaerici. In: Smith, R. (ed.) Opera Miscellania, Cambridge (1722)

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© 2008 Springer-Verlag

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(2008). Weighted Arithmetic Mean. In: The Concise Encyclopedia of Statistics. Springer, New York, NY. https://doi.org/10.1007/978-0-387-32833-1_421

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