Step 1: Identify the parameter of the Poisson distribution.
For a Poisson distribution, mean is equal to the parameter \(\lambda\).
Given, mean \(=6\).
Therefore,
\[
\lambda=6
\]
Step 2: Use the complement rule.
We need to find
\[
P(X\geq3)
\]
Using complement rule,
\[
P(X\geq3)=1-P(X\lt 3)
\]
\[
=1-[P(X=0)+P(X=1)+P(X=2)]
\]
Step 3: Use the Poisson probability formula.
For a Poisson random variable,
\[
P(X=r)=\frac{e^{-\lambda}\lambda^r}{r!}
\]
Since \(\lambda=6\),
\[
P(X=0)=\frac{e^{-6}6^0}{0!}=e^{-6}
\]
\[
P(X=1)=\frac{e^{-6}6^1}{1!}=6e^{-6}
\]
\[
P(X=2)=\frac{e^{-6}6^2}{2!}
\]
\[
=\frac{36}{2}e^{-6}
\]
\[
=18e^{-6}
\]
Step 4: Add the probabilities.
\[
P(X\lt 3)
=
e^{-6}+6e^{-6}+18e^{-6}
\]
\[
=25e^{-6}
\]
Thus,
\[
P(X\geq3)=1-25e^{-6}
\]
Since
\[
25e^{-6}=\frac{25}{e^6},
\]
we get
\[
P(X\geq3)=1-\frac{25}{e^6}
\]
Step 5: Final conclusion.
Hence,
\[
\boxed{1-\frac{25}{e^6}}
\]