Concept:
Standard deviation measures the spread of observations around the mean. For a frequency distribution, it is calculated using:
\[
\sigma=\sqrt{\frac{\sum f(x-\bar{x})^2}{\sum f}}
\]
Step 1: Find the mean.
First, multiply each observation by its frequency and divide by total frequency:
\[
\bar{x}=\frac{\sum fx}{\sum f}
\]
Step 2: Find deviations from mean.
For each observation, calculate:
\[
x-\bar{x}
\]
Step 3: Square the deviations and multiply by frequency.
\[
f(x-\bar{x})^2
\]
Then add all such values:
\[
\sum f(x-\bar{x})^2
\]
Step 4: Apply standard deviation formula.
\[
\sigma=\sqrt{\frac{\sum f(x-\bar{x})^2}{\sum f}}
\]
After substituting the values from the given data table:
\[
\sigma=6.12
\]
\[
\therefore \text{Correct Answer is (D)}
\]