Let $X$ and $Y$ be independent Poisson random variables with parameters $1$ and $2$ respectively. Then, what is the following probability?
$$\mathbb P(X=1 \mid (X+Y)/2=2)$$
Let $X$ and $Y$ be independent Poisson random variables with parameters $1$ and $2$ respectively. Then, what is the following probability?
$$\mathbb P(X=1 \mid (X+Y)/2=2)$$
You don't need the distribution of the average: Use $X + Y \sim Pois(3).$
$$P(X = 1|(X+Y)/2 = 2) = \frac{P(X = 1,X+Y=4)}{P(X+Y=4)} = \frac{P(X = 1,Y = 3)}{P(X+Y=4)} = ??,$$
where you can finish the computation, using independence and the formulas for $X \sim Pois(1)$ and $Y \sim Pois(2).$
Just apply the definition of conditional probability and the Law of Total Probability, using the fact of independence.
$\mathsf P(X=1\mid X+Y=4) = \dfrac{\mathsf P(X=1, Y=3)}{\mathsf P(X+Y=4)}$
Argue that the sum of two independent Poisson random variables is a Poisson random variable whose rate is the sum of their rates, and thus that $(X+Y)\sim\mathcal{Pois}(3)$.
I think you can solve your question knowing that if $X$ and $Y$ are two Poisson-distributed r.v.s with $\lambda_{x}$ and $\lambda_{y}$ respectively, then the distribution of $X$ conditional on $X+Y=k$ is binomial with $n=k$ and $p=\frac{\lambda_{x}}{\lambda_{x}+\lambda_{y}}$. See the discussion here.