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प्रश्न
Find the mean, mode, S.D. and coefficient of skewness for the following data:
Year render: | 10 | 20 | 30 | 40 | 50 | 60 |
No. of persons (cumulative): | 15 | 32 | 51 | 78 | 97 | 109 |
उत्तर
Year render | No. of persons (cumulative) |
\[f_i\]
|
\[u_i = \frac{x_i - 35}{10}\]
|
\[f_i u_i\]
|
\[{u_i}^2\]
|
\[f_i {u_i}^2\]
|
10 | 15 | 15 |
- 2.5
|
- 37.5
|
6.25 | 93.75 |
20 | 32 | 17 |
- 1.5
|
- 25.5
|
2.25 | 38.25 |
30 | 51 | 19 |
- 0.5
|
- 9.5
|
0.25 | 4.75 |
40 | 78 | 27 | 0.5 | 13.5 | 0.25 | 6.75 |
50 | 97 | 19 | 1.5 | 28.5 | 2.25 | 42.75 |
60 | 109 | 12 | 2.5 | 30 | 6.25 | 75 |
\[\sum f_i = N = 109\]
|
\[\sum f_i u_i = - 0 . 5\]
|
\[\sum f_i {u_i}^2 = 261 . 25\]
|
\[\bar{X} = A + h\left( \frac{\sum f_i u_i}{N} \right)\]
\[ = 35 + 10\left( \frac{- 0 . 5}{109} \right)\]
\[ = 34 . 96 \text{ years } \]
\[\sigma^2 = h^2 \left[ \frac{\sum f_i {u_i}^2}{N} - \left( \frac{\sum f_i u_i}{N} \right)^2 \right]\]
\[ = 100\left[ \frac{261 . 25}{109} - \frac{0 . 25}{11881} \right]\]
\[ = 100 \times 2 . 396\]
\[ = 239 . 6\]
\[\sigma = \sqrt{239 . 6}\]
\[ = 15 . 47 \text{ years } \]
Coefficient of skewness = Mean - Mode
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संबंधित प्रश्न
Calculate coefficient of variation from the following data:
Income (in Rs): | 1000-1700 | 1700-2400 | 2400-3100 | 3100-3800 | 3800-4500 | 4500-5200 |
No. of families: | 12 | 18 | 20 | 25 | 35 | 10 |
An analysis of the weekly wages paid to workers in two firms A and B, belonging to the same industry gives the following results:
Firm A | Firm B | |
No. of wage earners | 586 | 648 |
Average weekly wages | Rs 52.5 | Rs. 47.5 |
Variance of the |
100 |
121 |
distribution of wages |
(i) Which firm A or B pays out larger amount as weekly wages?
(ii) Which firm A or B has greater variability in individual wages?
The following are some particulars of the distribution of weights of boys and girls in a class:
Number | Boys | Girls |
100 | 50 | |
Mean weight | 60 kg | 45 kg |
Variance | 9 | 4 |
Which of the distributions is more variable?