Posts Median - Statistical Concepts
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Median - Statistical Concepts

Concept

Median is a statistical concept of finding a middle value from a set of values. It is very useful to understand the skewness and distribution of data. Let’s understand the formula and an example.

Formula

$$ \operatorname{median}(x)=\frac{1}{2}\left(x_{\lfloor(n+1) / 2\rfloor}+x_{\lceil(n+1) / 2\rceil}\right)$$

Here x indicates an index of x from a table, dataset, or simply from a set of values,
n is a number of values in a table, dataset, or set of values.
\( \lfloor … \rfloor \) = symbols denotes floor function
\( \lceil … \rceil \) = symbols denotes ceil function.

Explanation

All the values must be sorted before computing a median.
In the above formula, we are finding the middlemost two values by taking floor value of \( {\lfloor(n+1) / 2\rfloor} \) as an index of first number and ceil value of \( {\lceil(n+1) / 2\rceil} \) as an index of second number.
After getting both values, we will do a summation of both and divide that by 2 to get a median value.

Example

x
36
8
32
4
11
33
18
20
40
38
9
25
26
6
28
22
33
15


After sorting all the values:

4, 6, 8, 9, 11, 15, 18, 20, 22, 25, 26, 28, 32, 33, 33, 36, 38, 40

We have n = 18 number of values.
Putting it in our formula:

$$ \operatorname{median}(x) =\frac{1}{2}\left(x_{\lfloor(n+1) / 2\rfloor}+x_{\lceil(n+1) / 2\rceil}\right)$$

$$ \operatorname{median}(x) =\frac{1}{2}\left(x_{\lfloor(18+1) / 2\rfloor}+x_{\lceil(18+1) / 2\rceil}\right) $$

$$ \operatorname{median}(x) = \frac{1}{2}\left(x_{9}+x_{10}\right) = \frac{1}{2}\left(25 + 26\right) $$

$$ \operatorname{median}(x) = \frac{51}{2} = 25.5 $$

25.5 will be our median of all the values from a table.

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