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Question
Calculate the mean, median and standard deviation of the following distribution:
Class-interval: | 31-35 | 36-40 | 41-45 | 46-50 | 51-55 | 56-60 | 61-65 | 66-70 |
Frequency: | 2 | 3 | 8 | 12 | 16 | 5 | 2 | 3 |
Solution
Class Interval |
\[f_i\]
|
Midpoint
\[x_i\]
|
\[u_i = \frac{x_i - 53}{4}\]
|
ui 2 |
\[f_i u_i\]
|
\[f_i {u_i}^2\]
|
31−35 | 2 | 33 |
-5
|
25 |
- 10
|
50 |
36−40 | 3 | 38 |
-3.75
|
14.06 |
- 11.25
|
42.18 |
41−45 | 8 | 43 |
-2.5
|
6.25 |
- 20
|
50 |
46−50 | 12 | 48 |
-1.25
|
1.56 |
- 15
|
18.72 |
51−55 | 16 | 53 | 0 | 0 | 0 | 0 |
56−60 | 5 | 58 | 1.25 | 1.56 | 6.25 | 7.8 |
61−65 | 2 | 63 | 2.5 | 6.25 | 5 | 12.5 |
66−70 | 3 | 68 | 3.75 | 14.06 | 11.25 | 42.18 |
N = 51 |
|
\[\sum^n_{i = 1} f_i {u_i}^2 = 223 . 38\]
|
\[X^{} = a + h\left( \frac{\sum^n_{i = 1} f_i u_i}{N} \right)\]
\[ = 53 + 4\left( \frac{- 33 . 75}{51} \right)\]
\[ = 50 . 36\]
\[\sigma^2 = h^2 \left( \frac{\sum^n_{i = 1} f_i {u_i}^2}{N} - \left( \frac{\sum^n_{i = 1} f_i u_i}{N} \right)^2 \right)\]
\[ = 16\left( \frac{223 . 38}{51} - \frac{1139 . 06}{2601} \right)\]
\[ = 63 . 07\]
\[\sigma = \sqrt{63 . 07}\]
\[ = 7 . 94\]
\[f_i\]
|
\[CF\]
(Cumulative frequency) |
2 | 2 |
3 | 5 |
8 | 13 |
12 | 25 |
16 | 41 |
5 | 46 |
2 | 48 |
3 | 51 |
\[\sum f_i = 51 = N\]
\[\frac{N}{2} = 25 . 5\]
Median class interval is 51−55.
\[F = 25\]
\[f = 16\]
\[h = 4\]
\[ = 51 + \frac{0 . 5}{4}\]
\[ = 51 . 125\]
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