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Median ngagambarkeun harti teknis middle (tengah) dumasar kana "perasaan".

Dina statistik, kecap median mangrupa nilai anu ngabagi sampel satengah ka luhur jeung satengah ka handap. Keur manggihkeun median, susun data observasi ti nilai panghandapna nepi ka pangluhurna terus pilih salah sahiji anu di tengah. If there are an even number of observations, take the mean of the two middle values. When we use the median to describe what the observations have in common, there are several choices for a méasure of variability, the range, the interquartile range, sarta simpangan mutlak. Since the median is the same as the second quartile, its calculation is illustrated in the article on quartiles.

The median is primarily used for skewed distributions, which it represents more accurately than the arithmetic mean. Consider the set {1, 2, 2, 2, 3, 9}. The median is 2 in this case, as is the mode, and it might be seen as a better indication of central tendency than the arithmetic mean of 3.166....

The median is also the central point which minimises the average of the absolute deviations; in the example above this would be (1+0+0+0+1+7)/6=1.5 using the median, while it would be 1.944... using the méan.

Even though sorting n items takes in general O(n log n) operations, by using a recursive "Divide-and-Conquer" algorithm the median of n items can be computed with only O(n) operations.

Calculation of medians is a popular technique in summary statistics and summarizing statistical data, since it is simple to understand and éasy to calculate, while also giving a méasure that is more robust in the presence of outlier values than is the mean. The difference between the median and the méan is less than or equal to one standard deviation.