Conditional probability with an extra term 
Consider an experiment having three possible outcomes that occur with probabilities $p_1$, $p_2$, and $p_3$, respectively. Suppose n independent trials of the experiment are conducted and let $X_i$ denote the number of times the $i^{th}$ outcome occurs.

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*What is the density of $X_1 + X_2?$

*Find $P(X_2 = y \space|\space X_1 + X_2 = z), y = 0, 1, 2, ... ,z$?


I have solved the first question correctly, but there is something wrong with my solution for the second part below; I have explained my approach for the second part.
My approach:
$P(X_2 = y \space|\space X_1 + X_2 = z) = \frac{P(X_1 + X_2 = z \space| \space X_2 = y) \space P(X_2 = y)} {P(X_1 + X_2 = z)} = \frac{P(X_1 = z-y\space| \space X_2 = y) \space P(X_2 = y)} {P(X_1 + X_2 = z)}$
Now, RHS terms:
$P(X_1 = z-y\space| \space X_2 = y) = {n-y \choose z-y} p_1^{z-y}p_3^{n-z}$
$P(X_2 = y) = {n \choose y} p_2^{y}(1-p_2)^{n-y}$
$P(X_1 + X_2 = z) = {n \choose z} (p_1+p_2)^{z}(p_3)^{n-z}$ (This term was calculated in the first part of the question and hence its verified.)
Substituting these terms in the equation, we get:
$P(X_2 = y \space|\space X_1 + X_2 = z) = \frac{{n-y \choose z-y} p_1^{z-y}p_3^{n-z} {n \choose y} p_2^{y}(1-p_2)^{n-y}}{{n \choose z} (p_1+p_2)^{z}(p_3)^{n-z}}$
On simplifying the RHS, we get:
$RHS = {z \choose y} (\frac{p_1}{p_1+p_2})^{z-y} (\frac{p_2}{p_1+p_2})^y (1-p_2)^{n-y}$
but the answer given in the book is: ${z \choose y} (\frac{p_1}{p_1+p_2})^{z-y} (\frac{p_2}{p_1+p_2})^y $
I have an extra term $(1-p_2)^{n-y}$ in my answer; I have rechecked it multiple times, and it doesn't seem like a calculation mistake. Am I making any conceptual mistakes?
PS.: The question is from Introduction to Probability Theory, Hoel Port Stone, Chapter-3 Q22.

Okay, it seems the first term of the RHS in the original equation is wrong, as I can't use $p_1$ and $p_3$ because now the sample space has reduced; changing it to the following gives the correct answer:
$P(X_1 = z-y\space| \space X_2 = y) = {n-y \choose z-y} (\frac{p_1}{p_1+p_3})^{z-y} (\frac{p_3}{p_1+p_3})^{n-z}$
Right?
Also, can we directly state the answer using some argument along the lines of conditional probability?

It is immediate that $X_1+X_2$ has binomial distribution with parameters $n$ and $p_1+p_2$.

For the second question I would start with:
$$P\left(X_{2}=y\mid X_{1}+X_{2}=z\right)P\left(X_{1}+X_{2}=z\right)=P(X_2=y,X_1+X_2=z)=$$$$P\left(X_{1}=z-y,X_{2}=y,X_{3}=n-z\right)$$
leading to:
$$P\left(X_{2}=y\mid X_{1}+X_{2}=z\right)\frac{n!}{z!\left(n-z\right)!}\left(p_{1}+p_{2}\right)^{z}p_{3}^{n-z}=\frac{n!}{\left(z-y\right)!y!\left(n-z\right)!}p_{1}^{z-y}p_{2}^{y}p_{3}^{n-z}$$
then deleting factors that show up on both sides:
$$P\left(X_{2}=y\mid X_{1}+X_{2}=z\right)\frac{1}{z!}\left(p_{1}+p_{2}\right)^{z}=\frac{1}{\left(z-y\right)!y!}p_{1}^{z-y}p_{2}^{y}$$
then we find:
$$P\left(X_{2}=y\mid X_{1}+X_{2}=z\right)=\binom{z}{y}\left(\frac{p_{1}}{p_{1}+p_{2}}\right)^{z-y}\left(\frac{p_{2}}{p_{1}+p_{2}}\right)^{y}$$

Under condition $X_1+X_2=z$ random variable $X_2$ appears to have binomial distribution with parameters $z$ and $\frac{p_2}{p_1+p_2}$
