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What is the mean deviation about median of the following distribution?

36, 65, 38, 80, 42, 67, 33, 53, 76, 45


1. 14.7
2. 24.7
3. 15.7
4. 16.7

1 Answer

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Best answer
Correct Answer - Option 1 : 14.7

Given:

36, 65, 38, 80, 42, 67, 33, 53, 76, 45

Formula used:

Median = {(n + 1)/2}th term when total number of observation given is odd

Median = [(n/2)th term + {(n/2) +1}th term]/2 when total number of observation given is even

\({\rm{M}}.{\rm{D}} = \frac{{∑ \left| {{\rm{X}} - {\rm{M}}} \right|}}{{\rm{N}}}\)

Where

M.D = mean deviation about median

∑ = summation

X = observations or values

M = median

N = number of observations

Calculation:

At first, we have to rearrange the numbers in ascending order.

⇒ 33, 36, 38, 42, 45, 53, 65, 67, 76, 80

Here number of observations are 10

Median = (5th term + 6th term)/2

⇒ (45 + 53)/2

⇒ 98/2

⇒ 49

\({\rm{M}}.{\rm{D}} = \frac{{\left| {\left( {33 - 49} \right)|\; + \left|( {36 - 49} \right)| + \left|( {38 - 49} \right)| + \left|( {42\; - \;49} \right)|\; + \left|( {45\; - 49} \right)| + \left|( {53\; - \;49} \right)| + \left|( {65\; - 49} \right)| + \left|( {67\; - \;49} \right)| + \left|( {76\; - \;49} \right)| +\left|( {80\; - \;49} \right)} \right|}}{{10}}\)

⇒ \(\frac{{\left( {16 + \;13 + 11 + 7 + 4 + 4 + 16 + 18 + 27 + 31} \right)\;}}{{10}}\)

147/10

⇒ 14.7

∴ The mean deviation about the Median of the distribution is 14.7

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