Concept:
For \(n\) observations,
\[
\text{Mean}=\frac{\sum x_i}{n}
\]
and
\[
\sigma^2=\frac{\sum x_i^2}{n}-\bar{x}^2
\]
where \(\sigma^2\) is the variance.
Step 1: Find the sum of all observations.
Given,
\[
\bar{x}=4.4,\qquad n=5
\]
Hence,
\[
\sum x_i=5\times4.4=22
\]
Let the remaining observations be \(a\) and \(b\).
Then,
\[
1+2+6+a+b=22
\]
\[
a+b=13
\]
Step 2: Use the variance formula.
Given,
\[
\sigma^2=8.24
\]
\[
8.24=\frac{\sum x_i^2}{5}-(4.4)^2
\]
\[
8.24=\frac{\sum x_i^2}{5}-19.36
\]
\[
\frac{\sum x_i^2}{5}=27.60
\]
\[
\sum x_i^2=138
\]
Step 3: Find \(a^2+b^2\).
\[
1^2+2^2+6^2+a^2+b^2=138
\]
\[
1+4+36+a^2+b^2=138
\]
\[
a^2+b^2=97
\]
Step 4: Check the options.
\[
\begin{aligned}
(4,9) &:\quad a+b=13,\qquad a^2+b^2=16+81=97 \\
(5,8) &:\quad a+b=13,\qquad a^2+b^2=25+64=89 \\
(3,10) &:\quad a+b=13,\qquad a^2+b^2=9+100=109 \\
(4,10) &:\quad a+b=14
\end{aligned}
\]
Only option (A) satisfies both conditions.
\[
\boxed{4,\;9}
\]
Hence, option \(\mathbf{(A)}\) is correct.