
average down
[From Middle English averay, charge above the cost of freight, from Old French avarie, from Old Italian avaria, duty, from Arabic 'awārīya, damaged goods, from 'awār, blemish, from 'awira, to be damaged.]
averagely av'er·age·ly adv.SYNONYMS average, medium, mediocre, fair, middling, indifferent, tolerable. These adjectives indicate a middle position on a scale of evaluation. Average and medium apply to what is midway between extremes and imply both sufficiency and lack of distinction: a novel of average merit; an orange of medium size. Mediocre stresses the undistinguished aspect of what is average: "The caliber of the students . . . has gone from mediocre to above average" (Judy Pasternak). What is fair is passable but substantially below excellent: in fair health. Middling refers to a ranking between average and mediocre: gave a middling performance. Indifferent suggests neutrality: "His home, alas, was but an indifferent attic" (Edward Everett Hale). Something tolerable is merely acceptable: prepared a tolerable meal.
statistics For a set of numbers, a synonym for the arithmetic mean, i.e. the sum of those numbers divided by their count. The term referred originally to the damage, partial loss, else taxation of ships' cargo, the sharing of such costs between the shareholders in the cargo presumably prompting its general use in statistics. Other central values sometimes seen as averages, though not properly called such, include the median (the value such that there are just as many numbers greater than it as there are less than it, by convention the mean of the nearest values for a set with an even count) and the midrange (the mean of the two extreme-valued numbers in the set).
Clearly all three of these definitions can result in values that are not in the set, indeed values that could not be in the set. The average family with 2.2 children is the best-known unreal result.
No average can give more than a cursory picture of the set; it ignores the dispersion of the member numbers, due to erratic distribution and overall spread. The derived parameter standard deviation provides a measure of the dispersion.
| Availability Float, Automatic Withdrawal | |
| Average Cost, Average Daily Balance |
noun
adjective
Definition: normal, typical
Antonyms: abnormal, atypical, exceptional, extraordinary, extreme, outstanding, unusual
n
Definition: mean
Antonyms: maximum, minimum
n
Definition: normal, typical amount
Antonyms: abnormality, exception, extreme, unusual
A measure of central tendency; the most representative value for a group of numbers. The term is usually synonymous with the arithmetic mean.
A vague term that refers to the normal or typical amount. It sometimes refers specifically to the arithmetic mean. See also measures of central tendency.
We are all more average than we think.
— Gorham B. Munson
LearnThatWord.com is a free vocabulary and spelling program where you only pay for results!
Quotes:
"The average, healthy, well-adjusted adult gets up at seven-thirty in the morning feeling just plain terrible."
- Jean Kerr
"I consider myself an average man, except in the fact that I consider myself an average man."
- Michel Eyquem De Montaigne
"Ain't no man can avoid being born average, but there ain't no man got to be common."
- Leroy ''Satchel'' Paige
"I am only an average man but, by George, I work harder at it than the average man."
- Theodore Roosevelt
"If you do it right 51 percent of the time you will end up a hero."
- Alfred P. Sloan
"If your batting average is high enough, the Big League will find you."
- Source Unknown
See more famous quotes about Averages
| avenic acid, avenacin A-1, auxotrophy | |
| average molar mass, average molecular weight, average radius of gyration |
The sum of the values divided by the number of values. Called also arithmetic mean.

In mathematics, an average is a measure of the "middle" or "typical" value of a data set.[citation needed] It is thus a measure of central tendency.
In the most common case, the data set is a list of numbers. The average of a list of numbers is a single number intended to typify the numbers in the list. If all the numbers in the list are the same, then this number should be used. If the numbers are not the same, the average is calculated by combining the numbers from the list in a specific way and computing a single number as being the average of the list.
Many different descriptive statistics can be chosen as a measure of the central tendency of the data items. These include the arithmetic mean, the median, and the mode. Other statistics, such as the standard deviation and the range, are called measures of spread and describe how spread out the data is.
The most common statistic is the arithmetic mean, but depending on the nature of the data other types of central tendency may be more appropriate. For example, the median is used most often when the distribution of the values is skewed with a small number of very high or low values, as seen with house prices or incomes. It is also used when extreme values are likely to be anomalous or less reliable than the other values (e.g. as a result of measurement error), because the median takes less account of extreme values than the mean does. [1]
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The three most common averages are the Pythagorean means -- the arithmetic mean, the geometric mean, and the harmonic mean.
If n numbers are given, each number denoted by ai, where i = 1, ..., n, the arithmetic mean is the [sum] of the ai's divided by n or

The arithmetic mean, often simply called the mean, of two numbers, such as 2 and 8, is obtained by finding a value A such that 2 + 8 = A + A. One may find that A = (2 + 8)/2 = 5. Switching the order of 2 and 8 to read 8 and 2 does not change the resulting value obtained for A. The mean 5 is not less than the minimum 2 nor greater than the maximum 8. If we increase the number of terms in the list for which we want an average, we get, for example, that the arithmetic mean of 2, 8, and 11 is found by solving for the value of A in the equation 2 + 8 + 11 = A + A + A. One finds that A = (2 + 8 + 11)/3 = 7.
The geometric mean of n non-negative numbers is obtained by multiplying them all together and then taking the nth root. In algebraic terms, the geometric mean of a1, a2, ..., an is defined as
![\text{GM=} \sqrt[n]{\prod_{i=1}^n a_i}=\sqrt[n]{a_1 a_2 \cdots a_n}.](http://wpcontent.answcdn.com/wikipedia/en/math/f/5/5/f551ecf71309d459cbea258c5276d7ad.png)
Geometric mean can be thought of as the antilog of the arithmetic mean of the logs of the numbers.
Example: Geometric mean of 2 and 8 is 
The average percentage return is a type of average used in finance. It is an example of a geometric mean. When the returns are annual, it is called the Compound Annual Growth Rate (CAGR). For example, if we are considering a period of two years, and the investment return in the first year is −10% and the return in the second year is +60%, then the average percentage return or CAGR, R, can be obtained by solving the equation: (1 − 10%) × (1 + 60%) = (1 − 0.1) × (1 + 0.6) = (1 + R) × (1 + R). The value of R that makes this equation true is 0.2, or 20%. This means that the total return over the 2-year period is the same as if there had been 20% growth each year. Note that the order of the years makes no difference - the average percentage returns of +60% and −10% is the same result as that for −10% and +60%.
This method can be generalized to examples in which the periods are not equal. For example, consider a period of a half of a year for which the return is −23% and a period of two and a half years for which the return is +13%. The average percentage return for the combined period is the single year return, R, that is the solution of the following equation: (1 − 0.23)0.5 × (1 + 0.13)2.5 = (1 + R)0.5+2.5, giving an average percentage return R of 0.0600 or 6.00%.
Harmonic mean for a non-empty collection of numbers a1, a2, ..., an, all different from 0, is defined as the reciprocal of the arithmetic mean of the reciprocals of the ai's:

One example where it is useful is calculating the average speed for a number of fixed-distance trips. For example, if the speed for going from point A to B was 60 km/h, and the speed for returning from B to A was 40 km/h, then the average speed is given by

A well known inequality concerning arithmetic, geometric, and harmonic means for any set of positive numbers is

It is easy to remember noting that the alphabetical order of the letters A, G, and H is preserved in the inequality. See Inequality of arithmetic and geometric means.
The most frequently occurring number in a list is called the mode. The mode of the list (1, 2, 2, 3, 3, 3, 4) is 3. The mode is not necessarily well defined, the list (1, 2, 2, 3, 3, 5) has the two modes 2 and 3. The mode can be subsumed under the general method of defining averages by understanding it as taking the list and setting each member of the list equal to the most common value in the list if there is a most common value. This list is then equated to the resulting list with all values replaced by the same value. Since they are already all the same, this does not require any change. The mode is more meaningful and potentially useful if there are many numbers in the list, and the frequency of the numbers progresses smoothly (e.g., if out of a group of 1000 people, 30 people weigh 61 kg, 32 weigh 62 kg, 29 weigh 63 kg, and all the other possible weights occur less frequently, then 62 kg is the mode).
The mode has the advantage that it can be used with non-numerical data (e.g., red cars are most frequent), while other averages cannot.
The median is the middle number of the group when they are ranked in order. (If there are an even number of numbers, the mean of the middle two is taken.)
Thus to find the median, order the list according to its elements' magnitude and then repeatedly remove the pair consisting of the highest and lowest values until either one or two values are left. If exactly one value is left, it is the median; if two values, the median is the arithmetic mean of these two. This method takes the list 1, 7, 3, 13 and orders it to read 1, 3, 7, 13. Then the 1 and 13 are removed to obtain the list 3, 7. Since there are two elements in this remaining list, the median is their arithmetic mean, (3 + 7)/2 = 5.
The table of mathematical symbols explains the symbols used below.
| Name | Equation or description |
|---|---|
| Arithmetic mean | ![]() |
| Median | The middle value that separates the higher half from the lower half of the data set |
| Geometric median | A rotation invariant extension of the median for points in Rn |
| Mode | The most frequent value in the data set |
| Geometric mean | ![]() |
| Harmonic mean | ![]() |
| Quadratic mean (or RMS) |
![]() |
| Generalized mean | ![]() |
| Weighted mean | ![]() |
| Truncated mean | The arithmetic mean of data values after a certain number or proportion of the highest and lowest data values have been discarded |
| Interquartile mean | A special case of the truncated mean, using the interquartile range |
| Midrange | ![]() |
| Winsorized mean | Similar to the truncated mean, but, rather than deleting the extreme values, they are set equal to the largest and smallest values that remain |
| Annualization | ![]() |
Several measures of central tendency can be characterized as solving a variational problem, in the sense of the calculus of variations, namely minimizing variation from the center. That is, given a measure of statistical dispersion, one asks for a measure of central tendency that minimizes variation: such that variation from the center is minimal among all choices of center. In a quip, "dispersion precedes location". In the sense of Lp spaces, the correspondence is:
| Lp | dispersion | central tendency |
|---|---|---|
| L1 | average absolute deviation | median |
| L2 | standard deviation | mean |
| L∞ | maximum deviation | midrange |
Thus standard deviation about the mean is lower than standard deviation about any other point, and the maximum deviation about the midrange is lower than the maximum deviation about any other point. The uniqueness of this characterization of mean follows from convex optimization. Indeed, for a given (fixed) data set x, the function

represents the dispersion about a constant value c relative to the L2 norm. Because the function ƒ2 is a strictly convex coercive function, the minimizer exists and is unique.
Note that the median in this sense is not in general unique, and in fact any point between the two central points of a discrete distribution minimizes average absolute deviation. The dispersion in the L1 norm, given by

is not strictly convex, whereas strict convexity is needed to ensure uniqueness of the minimizer. In spite of this, the minimizer is unique for the L∞ norm.
Other more sophisticated averages are: trimean, trimedian, and normalized mean, with their generalizations.[2]
One can create one's own average metric using the generalized f-mean:

where f is any invertible function. The harmonic mean is an example of this using f(x) = 1/x, and the geometric mean is another, using f(x) = log x.
However, this method for generating means is not general enough to capture all averages. A more general method[3] for defining an average takes any function g(x1, x2, ..., xn) of a list of arguments that is continuous, strictly increasing in each argument, and symmetric (invariant under permutation of the arguments). The average y is then the value which, when replacing each member of the list, results in the same function value: g(y, y, ..., y) = g(x1, x2, ..., xn). This most general definition still captures the important property of all averages that the average of a list of identical elements is that element itself. The function g(x1, x2, ..., xn) = x1+x2+ ··· + xn provides the arithmetic mean. The function g(x1, x2, ..., xn) = x1x2···xn (where the list elements are positive numbers) provides the geometric mean. The function g(x1, x2, ..., xn) = −(x1−1+x2−1+ ··· + xn−1) (where the list elements are positive numbers) provides the harmonic mean.[3]
The concept of an average can be applied to a stream of data as well as a bounded set, the goal being to find a value about which recent data is in some way clustered. The stream may be distributed in time, as in samples taken by some data acquisition system from which we want to remove noise, or in space, as in pixels in an image from which we want to extract some property. An easy-to-understand and widely used application of average to a stream is the simple moving average in which we compute the arithmetic mean of the most recent N data items in the stream. To advance one position in the stream, we add 1/N times the new data item and subtract 1/N times the data item N places back in the stream.
upon seeing new element
:
The concept of average can be extended to functions.[4] In calculus, the average value of an integrable function ƒ on an interval [a,b] is defined by

An early meaning (c. 1500) of the word average is "damage sustained at sea". The root is found in Arabic as awar, in Italian as avaria, in French as avarie and in Dutch as averij. Hence an average adjuster is a person who assesses an insurable loss.
Marine damage is either particular average, which is borne only by the owner of the damaged property, or general average, where the owner can claim a proportional contribution from all the parties to the marine venture. The type of calculations used in adjusting general average gave rise to the use of "average" to mean "arithmetic mean".
However, according to the Oxford English Dictionary, the earliest usage in English (1489 or earlier) appears to be an old legal term for a tenant's day labour obligation to a sheriff, probably anglicised from "avera" found in the English Domesday Book (1085). This pre-existing term thus lay to hand when an equivalent for avarie was wanted.
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Dansk (Danish)
n. - gennemsnit, normal, norm
adj. - gennemsnitlig, normal, middel-
v. tr. - have som gennemsnit, udgøre gennemsnit
v. intr. - være gennemsnit, udgøre gennemsnit
idioms:
Nederlands (Dutch)
gemiddeld(e), doorsnee, middelmatig, gewoon, averij (zeeschade), als gemiddelde hebben, gemiddeld per dag etc. werken/doen, het gemiddelde inschatten, kwaliteit inschatten
Français (French)
n. - moyenne, (Assur) avarie
adj. - moyenne, moyen
v. tr. - établir/faire la moyenne de, atteindre la moyenne de, (Aut) faire une moyenne de
v. intr. - s'égaliser, faire en moyenne
idioms:
Deutsch (German)
n. - Durchschnitt, Mittelwert
adj. - durchschnittlich, Durchschnitts-, Mittel-, mittelmäßig
v. - durchschnittlich betragen, den Mittelwert nehmen
idioms:
Ελληνική (Greek)
n. - (μαθημ.) μέσος όρος, (ναυτ., οικον.) αβαρία, βλάβη
v. - έχω/κάνω/πιάνω/βγάζω κατά μέσον όρο, υπολογίζω/εξάγω τον μέσο όρο
adj. - μέσος, του μέσου όρου, μέτριος, αντιπροσωπευτικός, συνήθης
idioms:
Italiano (Italian)
media, medio, mediocre
idioms:
Português (Portuguese)
n. - média (f), proporção (f), avaria (f)
v. - dividir proporcionalmente, calcular a média, comprar ou vender por atacado
adj. - médio, proporcional, mediano, padrão, medíocre
idioms:
Русский (Russian)
среднее число, средний, посредственный
idioms:
Español (Spanish)
n. - promedio, media, término medio, medio
adj. - regular, mediano, mediocre
v. tr. - promediar
v. intr. - hacer un promedio
idioms:
Svenska (Swedish)
n. - genomsnitt, medeltal
v. - beräkna medeltalet, fördela
adj. - genomsnittlig, medel-
中文(简体)(Chinese (Simplified))
平均, 平均水平, 平均数, 一般的, 通常的, 平均的, 均分, 使平衡, 平均为
idioms:
中文(繁體)(Chinese (Traditional))
n. - 平均, 平均水準, 平均數
adj. - 一般的, 通常的, 平均的
v. tr. - 均分, 使平衡, 平均為
v. intr. - 平均為
idioms:
한국어 (Korean)
n. - 평균
adj. - 평균의, 보통의
v. tr. - 의 평균치를 구하다
v. intr. - 평균에 달하다
idioms:
日本語 (Japanese)
n. - 平均, 普通
v. - 平均して…になる, 平均して…を得る, 平均する
adj. - 平均の, 平均的な
idioms:
العربيه (Arabic)
(الاسم) معدل, متوسط, عادي (فعل) يوجد المعدل, يقسم على نحو متناسب (صفه) يعمل بمعدل, يبلغ معدله
עברית (Hebrew)
n. - ממוצע
adj. - ממוצע, רגיל, בינוני
v. tr. - חישב את הממוצע, מיצע, העריך את הרמה הכללית או את הממוצע של
v. intr. - הציג את הממוצע של
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