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Everything about Median totally explained

In probability theory and statistics, a median is described as the number separating the higher half of a 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's an even number of observations, the median isn't unique, so one often takes the mean of the two middle values. At most half the population have values less than the median and at most half have values greater than the median. If both groups contain 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 . 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….
   Calculation of medians is a popular technique in summary statistics and summarizing statistical data, since it's simple to understand and easy to calculate, while also giving a measure that's more robust in the presence of outlier values than is the mean.

Theoretical properties

An optimality property

The median is also the central point which minimizes 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 mean. In the language of probability theory, the value of c that minimizes » E(left|X-c ight|),

is the median of the probability distribution of the random variable X. Note, however, that c isn't always unique, and therefore not well defined in general.

An inequality relating means and medians

For continuous probability distributions, the difference between the median and the mean is less than or equal to one standard deviation. See an inequality on location and scale parameters.

Efficient computation

Even though sorting n items takes in general O(n log n) operations, by using a "divide and conquer" algorithm the median of n items can be computed with only O(n) operations (in fact, you can always find the k-th element of a list of values with this method; this is called the selection problem).

Easy explanation (Statistics)

As an example, we'll calculate the median of the following population of numbers: 1, 5, 2, 8, 7.
   Start by sorting the numbers: 1, 2, 5, 7, 8.
   In this case, 5 is the median, because when the numbers are sorted, it's the middle number. If there's an even amount of numbers, the median is the arithmetic mean of the two middle numbers.

Further Information

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