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Question
The age distribution of 100 life-insurance policy holders is as follows:
| Age (on nearest birth day) | 17-19.5 | 20-25.5 | 26-35.5 | 36-40.5 | 41-50.5 | 51-55.5 | 56-60.5 | 61-70.5 |
| No. of persons | 5 | 16 | 12 | 26 | 14 | 12 | 6 | 5 |
Calculate the mean deviation from the median age
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Solution
To make this function continuous, we need to subtract 0.25 from the lower limit and add 0.25 to the upper limit of the class.
| Age | Number of People \[f_i\] |
Cumulative Frequency | Midpoints \[x_i\] |
\[\left| d_i \right| = \left| x_i - 38 . 63 \right|\]
|
\[f_i \left| d_i \right|\]
|
| 16.75−19.75 |
5 | 5 | 18.25 | 20.38 | 101.9 |
| 19.75−25.75 | 16 | 21 | 22.75 | 15.88 | 254.08 |
| 25.75−35.75 | 12 | 33 | 30.75 | 7.88 | 94.56 |
| 35.75−40.75 | 26 | 59 | 38.25 | 0.38 | 9.88 |
| 40.75−50.75 | 14 | 73 | 45.75 | 7.12 | 99.68 |
| 50.75−55.75 | 12 | 85 | 53.25 | 14.62 | 175.44 |
| 55.75−60.75 | 6 | 91 | 58.25 | 19.62 | 117.72 |
| 60.75−70.75 | 5 | 96 | 65.75 | 27.12 | 135.6 |
|
\[N = \sum ^8 _{i = 1} f_i = 96\]
|
\[\sum^8_{i = 1} f_i \left| d_i \right| = 988 . 86\]
|
\[N = 96\]
\[ \therefore \frac{N}{2} = 48\]
\[\text{ The cumulative frequency just greater than } \frac{N}{2} = 38\text{ is 59 and the corresponding class is } 35 . 75 - 40 . 75 . \]
\[\text{ Thus, the median class is 35 . 75 - 40 . 75 } \]
\[l = 35 . 75, f = 26, F = 33, h = 5\]
\[\text{ Median } = l + \frac{\frac{N}{2} - F}{f} \times h\]
\[ = 35 . 75 + \frac{\left( 48 - 33 \right)}{26} \times 5 \]
\[ = 35 . 75 + 2 . 88\]
\[ = 38 . 63\]
\[\text{ Mean deviation from the median } = \frac{\mathit{\sum^8_{i = 1}} f_i \left| d_i \right|}{N}\]
\[ = \frac{988 . 86}{96}\]
\[ = 10 . 30\]
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