Standard
deviation (
)
is defined as the square root of the arithmetic mean of the square of the
deviation of the values taken from mean.
For an
individual series
Example:
|
Marks |
Frequency (f) |
Mid value (x) |
X2 |
fx |
 |
 |
 |
|
0-10 |
5 |
5 |
25 |
25 |
27 |
22 |
484 |
|
10-20 |
8 |
15 |
225 |
120 |
27 |
12 |
144 |
|
20-30 |
15 |
25 |
625 |
375 |
27 |
2 |
4 |
|
30-40 |
16 |
35 |
1225 |
560 |
27 |
8 |
64 |
|
40-50 |
6 |
45 |
2025 |
270 |
27 |
18 |
324 |
|
|
n = |
|
 |
 |
|
|
 |
From actual
mean:

Assumed
mean method:
Where d=x-A (A is assumed mean)
Method
based on actual data

Variance:
It is
square of the standard deviation
Standard
deviation = 
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