medianˈmi di ən
median (n)
- plural
- medians
English Definitions:
median, median value (adj)
the value below which 50% of the cases fall
median(a), average (adj)
relating to or constituting the middle value of an ordered set of values (or the average of the middle two in a set with an even number of values)
"the median value of 17, 20, and 36 is 20"; "the median income for the year was $15,000"
medial, median (adj)
dividing an animal into right and left halves
median, medial (adj)
relating to or situated in or extending toward the middle
median (Noun)
A central vein or nerve, especially the median vein or median nerve running through the forearm and arm.
median (Noun)
The quantity or value at the midpoint of a set of values, such that the variable is equally likely to fall above or below it; the middle value of a discrete series arranged in magnitude (or the mean of the middle two terms when there is an even number of terms).
median (Noun)
The median strip; the area separating two lanes of opposite-direction traffic.
median (Adjective)
Situated in the middle; central, intermediate.
median (Adjective)
In the middle of an organ, structure etc.; towards the median plane of an organ or limb.
median (Adjective)
Having the median as its value.
Median (Noun)
a Mede
Median (Noun)
The northwestern Iranian language of the Medes, attested only by numerous loanwords in Old Persian, few borrowings in Old Armenian and some glosses in Ancient Greek; nothing is known of its grammar.
Median (Adjective)
Relating to Media or Medes.
Median (Adjective)
Of laws, rules etc.: unchanging, invariable.
Median
In statistics and probability theory, the median is the numerical value separating the higher half of a data sample, a population, or a probability distribution, from the lower half. The median of a finite list of numbers can be found by arranging all the observations from lowest value to highest value and picking the middle one. If there is an even number of observations, then there is no single middle value; the median is then usually defined to be the mean of the two middle values, which corresponds to interpreting the median as the fully trimmed mid-range. The median is of central importance in robust statistics, as it is the most resistant statistic, having a breakdown point of 50%: so long as no more than half the data is contaminated, the median will not give an arbitrarily large result. A median is only defined on ordered one-dimensional data, and is independent of any distance metric. A geometric median, on the other hand, is defined in any number of dimensions. In a sample of data, or a finite population, there may be no member of the sample whose value is identical to the median; if there is such a member, there may be more than one so that the median may not uniquely identify a sample member. Nonetheless, the value of the median is uniquely determined with the usual definition. A related concept, in which the outcome is forced to correspond to a member of the sample, is the medoid. At most, half the population have values strictly less than the median, and, at most, half have values strictly greater than the median. If each group contains less than half the population, then some of the population is exactly equal to the median. For example, if a < b < c, then the median of the list {a, b, c} is b, and, if a < b < c < d, then the median of the list {a, b, c, d} is the mean of b and c; i.e., it is /2.
Median
In statistics and probability theory, the median is the value separating the higher half from the lower half of a data sample, a population, or a probability distribution. For a data set, it may be thought of as "the middle" value. The basic feature of the median in describing data compared to the mean (often simply described as the "average") is that it is not skewed by a small proportion of extremely large or small values, and therefore provides a better representation of a "typical" value. Median income, for example, may be a better way to suggest what a "typical" income is, because income distribution can be very skewed. The median is of central importance in robust statistics, as it is the most resistant statistic, having a breakdown point of 50%: so long as no more than half the data are contaminated, the median is not an arbitrarily large or small result.
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"median." Kamus.net. STANDS4 LLC, 2024. Web. 19 Apr. 2024. <https://www.kamus.net/english/median>.
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