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# Kendall Coefficient

Unsolved###### Prob. and Stats

Kendall's Coefficient is used to calculate the agreement between different variables or data points, for example for measuring agreement between raters. If the value of this coefficient is 0 then we can say that there is no agreement. If the value is 1 then the data points have the same value.

The mathematical equation of the Kendall coefficient is:

\(KD = \frac{S}{(n^{3}-n)\frac{k^{2}}{12}} \)

\(S= \sum [d - (\frac{d}{N})]^{2}\)

d is the data points

N is the number of items

k is the number of clusters

n is the number of ranked items

Write a Python function to find the Kendall coefficient for 3 data points corresponding to rating values for a single variable.

##### Sample Input:

`d1: 3`

<class 'int'>

`d2: 5`

<class 'int'>

`d3: 7`

<class 'int'>

`N: 10`

<class 'int'>

`n: 10`

<class 'int'>

`K: 4`

##### Expected Output:

`0.1380681818181818`

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Input Test Case

Please enter only one test case at a timenumpy has been already imported as np (import numpy as np)