Step 1: Find the parameters of the binomial distribution.
For a binomial random variable,
\[
\text{Mean}=np=2,
\]
and
\[
\text{Variance}=np(1-p)=1.
\]
Using
\[
np=2,
\]
we get
\[
2(1-p)=1
\]
which gives
\[
p=\frac12.
\]
Hence,
\[
n=\frac{2}{p}
=\frac{2}{1/2}
=4.
\]
Thus,
\[
X\sim B\!\left(4,\frac12\right).
\]
Step 2: Compute \(P(X>1)\).
\[
P(X>1)
=
1-\left[P(X=0)+P(X=1)\right].
\]
Now,
\[
P(X=0)
=
\binom40
\left(\frac12\right)^4
=
\frac1{16},
\]
and
\[
P(X=1)
=
\binom41
\left(\frac12\right)^4
=
\frac4{16}.
\]
Therefore,
\[
P(X>1)
=
1-\frac{1+4}{16}
=
1-\frac5{16}
=
\frac{11}{16}.
\]
Hence,
\[
\boxed{\frac{11}{16}}.
\]
Therefore,
\[
\boxed{(B)}
\]
is the correct answer.