Concept:
For grouped data,
\[
\sigma^2
=
\frac{\sum f_i x_i^2}{N}
-
\left(
\frac{\sum f_i x_i}{N}
\right)^2.
\]
where \(x_i\) are class marks and \(N=\sum f_i\).
Step 1: Determine class marks
\[
5,\;15,\;25,\;35,\;45,\;55.
\]
\[
N
=
2+2+3+4+1+3
=
15.
\]
Step 2: Compute \(\sum fx\)
\[
\sum fx
=
2(5)+2(15)+3(25)+4(35)+1(45)+3(55).
\]
\[
=
10+30+75+140+45+165.
\]
\[
=465.
\]
Step 3: Compute \(\sum fx^2\)
\[
\sum fx^2
=
2(25)+2(225)+3(625)+4(1225)+1(2025)+3(3025).
\]
\[
=
50+450+1875+4900+2025+9075.
\]
\[
=18375.
\]
Step 4: Calculate variance
\[
\sigma^2
=
\frac{18375}{15}
-
\left(
\frac{465}{15}
\right)^2.
\]
\[
=
1225-31^2.
\]
\[
=
1225-961.
\]
\[
=
264.
\]
Hence,
\[
\boxed{264}.
\]