I find it hard to notice when do I have a Multinomial distribution and if its possible to "transform" problems into a Multinomial distribution problems.
For example I have the following exercise:
$15$ people come for a test
$21$ quizzes has been printed
$7$ quizzes are type A
$7$ quizzes are type B
$7$ quizzes are type C
Each man get $1$ random quizLet X be number of people who got quiz A
Let Y be number of people who got quiz BWrite the joint probability function of X,Y
Now if it would be the joint probability function of X,Y, Z(when Z is Z=number of people who got quiz C) I could easily say its a Multinomial distribution (I think)
But now the sum X and Y is not $1$ (because some people may get C) so how can I answer this question? and how can I know when to search for a Multinomial distribution?
Thanks in advance
Hint
There are 15 people, so you know $Z=15-X-Y$, where $Z$ is the count of people who have test C. So you have:
$$ \mathsf P(X{=}x, Y{=}y)= \mathsf P(X{=}x, Y{=}y, Z{=}15{-}x{-}y)$$
So, if the sampling is with replacement (different people may select the same puzzle) this is a multinomial distribution.
However, if the sampling is without replacement (everyone gets a distinct quize), this is a multivariate hypergeometric distribution.