
Concept:
To find the standard deviation for grouped data, we use: \[ \sigma = \sqrt{\frac{\sum f_i x_i^2}{N} - \left(\frac{\sum f_i x_i}{N}\right)^2} \] where $x_i$ is the class mark, $f_i$ is the frequency, and $N = \sum f_i$.
Step 1: Construct the frequency table.
Class marks: \[ x_i = 3,\ 9,\ 15 \]
| C.I. | $f_i$ | $x_i$ | $x_i^2$ | $f_i x_i$ | $f_i x_i^2$ |
|---|---|---|---|---|---|
| 0–6 | 2 | 3 | 9 | 6 | 18 |
| 6–12 | 4 | 9 | 81 | 36 | 324 |
| 12–18 | 6 | 15 | 225 | 90 | 1350 |
| Total | $N=12$ | $132$ | $1692$ |
Step 2: Calculate variance.
\[ V(X) = \frac{1692}{12} - \left(\frac{132}{12}\right)^2 \] \[ V(X) = 141 - 121 = 20 \]
Step 3: Standard deviation.
\[ \sigma = \sqrt{20} = 2\sqrt{5} \]
Final Answer:
\[ \boxed{2\sqrt{5}} \]