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Following data gives the age distribution of 250 employees of a firm. Calculate Q.D. of the distribution: Age(in years) 20 – 25 25 – 30 30 – 35 35 – 40 40 – 45 45 – 50 No. of employees 30 40 - Mathematics and Statistics

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Question

Following data gives the age distribution of 240 employees of a firm. Calculate Q.D. of the distribution:

Age
(in years)
20 – 25 25 – 30 30 – 35 35 – 40 40 – 45 45 – 50
No. of employees 30 40 60 50 46 14
Sum

Solution

We construct the less than cumulative frequency table as follows:

Age
(In years)
No. of employees
(f)
Less than cumulative frequency
(c.f.)
20 – 25 30 30
25 – 30 40 70 ← Q1
30 – 35 60 130
35 – 40 50 180 ← Q3
40 – 50 46 226
45 – 50 14 240
Total  N = 240  

Here, N = 240

For Q1, class = class containing `("N"/4)^"th"` observation

∴ `"N"/(4) = (240)/(4)` = 60

Cumulative frequency which is just greater than (or equal to) 60 is 70.

∴ Q1 Lies in the class 25 – 30.

∴ L = 25, f = 40, c.f. = 30, h = 5

Q1 = `"L"+"h"/"f"("N"/4-"c.f.")`

∴ Q1 = `25 + (5)/(40)(60 - 30)`

∴ Q1 = `25 + (1)/(8)(30)`

∴ Q1 = 25 + 3.75

∴ Q1 = 28.75

For Q3 class = class containing `("3N"/4)^"th"` observation

∴ `(3"N")/4=(3xx240)/4` = 180

Cumulative frequency which is just greater than (or equal to) 180 is 180.

∴ Q3 Lies in the class 35 – 40

∴ L = 35, f = 50, c.f. = 130, h = 5

Q3 = `"L"+"h"/"f"((3"N")/4-"c.f.")`

∴ Q3  = `35 + (5)/(50)(180 - 130)`

∴ Q3  = `35 + (1)/(10)xx50`

∴ Q3  = 35 + 5

∴ Q3 = 40

Q.D. = `("Q"_3 - "Q"_1)/(2)`

∴ Q.D. = `(40 - 28.75)/(2)`

∴ Q.D. = `(11.25)/(2)`

∴ Q.D. = 5.625

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Notes

The question has been modified.

Measures of Dispersion - Quartile Deviation (Semi - Inter Quartile Range)
  Is there an error in this question or solution?
Chapter 2: Measures of Dispersion - Exercise 2.1 [Page 26]

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