Question: Calculate the quartile deviation from the data given.
Age (in years) | 10-20 | 20-30 | 30-40 | 40-50 | 50-60 |
No. of workers | 2 | 6 | 22 | 13 | 7 |
Solution:
Given,
Arranging the given data in cumulative frequency (c.f.) table:
Age (x) | No. (f) | c.f. |
10-20 | 2 | 2 |
20-30 | 6 | 8 |
30-40 | 22 | 30 |
40-50 | 13 | 43 |
50-60 | 7 | 50 |
N = 50 |
Now,
$Q_1 \; class = \dfrac{N}{4}^{th} \; class$
$= \dfrac{50}{4}^{th}\; class$
$= 12.5 ^{th} \; class$
In c.f. table, just greater value than 12.5 is 30 whose corresponding class is (30-40).
So, $Q_1\; class= (30-40)$
For $Q_1$ we have;
l = 30, i = 10, f = 22, c.f. = 8, $\frac{N}{4}$ = 12.5
So,
$Q_1 = l + \dfrac{i}{f} × \left ( \dfrac{N}{4} - c.f. \right )$
$= 30 + \dfrac{10}{22} × (12.5-8)$
$= 30 + 2.04$
$= 32.04$
And,
$Q_3 \; class = \dfrac{3N}{4}^{th} \; class$
$= \dfrac{3×50}{4}^{th}\; class$
$= 37.5 ^{th} \; class$
In c.f. table, just greater value than 37.5 is 43 whose corresponding class is (40-50).
So, $Q_3\; class= (40-50)$
For $Q_3$ we have;
l = 40, i = 10, f = 13, c.f. = 30, $\frac{3N}{4}$ = 37.5
So,
$Q_3 = l + \dfrac{i}{f} × \left ( \dfrac{3N}{4} - c.f. \right )$
$= 40 + \dfrac{10}{13} × (37.5-30)$
$= 40 + 5.76$
$= 45.76$
We know,
Quartile Deviation (Q.D.) = $\dfrac{Q_3 - Q_1}{2}$
$= \dfrac{45.76 - 32.04}{2}$
$= \dfrac{13.72}{2}$
$= 6.86 years$
Also,
Coefficient of Q.D. = $\dfrac{Q_3 - Q_1}{Q_3 + Q_1}$
$= \dfrac{45.76 - 32.04}{45.76+32.04}$
$= \dfrac{13.72}{77.8}$
$= 0.176$
$= 0.18$
Hence, the required quartile deviation of the above data is 6.86 years and the coefficient of quartile deviation is 0.18.
Related Notes and Solutions:
Here is the website link to the notes of Statistics of Class 10.
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