arithmetic mean - définition. Qu'est-ce que arithmetic mean
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Qu'est-ce (qui) est arithmetic mean - définition

SUM OF A COLLECTION OF NUMBERS DIVIDED BY THE NUMBER OF NUMBERS IN THE COLLECTION
Mean average; Standard mean; Arithmetic average; Sample means; Arithmetical mean; Arithmetic Mean; Statistical mean; Mean (average); Averaged; X̄; Ordinary mean; Arithmetic means
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arithmetic mean         
<mathematics> The mean of a list of N numbers calculated by dividing their sum by N. The arithmetic mean is appropriate for sets of numbers that are added together or that form an arithmetic series. If all the numbers in the list were changed to their arithmetic mean then their total would stay the same. For sets of numbers that are multiplied together, the geometric mean is more appropriate. (2007-03-20)
Arithmetic mean         
In mathematics and statistics, the arithmetic mean ( ) or arithmetic average, or just the mean or the average (when the context is clear), is the sum of a collection of numbers divided by the count of numbers in the collection. The collection is often a set of results of an experiment or an observational study, or frequently a set of results from a survey.
Averaged         
·Impf & ·p.p. of Average.

Wikipédia

Arithmetic mean

In mathematics and statistics, the arithmetic mean ( arr-ith-MET-ik), arithmetic average, or just the mean or average (when the context is clear), is the sum of a collection of numbers divided by the count of numbers in the collection. The collection is often a set of results from an experiment, an observational study, or a survey. The term "arithmetic mean" is preferred in some mathematics and statistics contexts because it helps distinguish it from other types of means, such as geometric and harmonic.

In addition to mathematics and statistics, the arithmetic mean is frequently used in economics, anthropology, history, and almost every academic field to some extent. For example, per capita income is the arithmetic average income of a nation's population.

While the arithmetic mean is often used to report central tendencies, it is not a robust statistic: it is greatly influenced by outliers (values much larger or smaller than most others). For skewed distributions, such as the distribution of income for which a few people's incomes are substantially higher than most people's, the arithmetic mean may not coincide with one's notion of "middle". In that case, robust statistics, such as the median, may provide a better description of central tendency.