4 cards are drawn from a stack of 52, what is the probability that 2 cards are of one suit and the other 2 cards are of a different suit?
I.e. 2 Diamonds and 2 Clubs or 2 Spades and 2 Diamonds etc..
I think it might be:
$$2\left(\frac{13C2 \cdot 13C2}{52C4}\right)$$
However, I'm not entirely sure that multiplying it by 2 to account for all possible suits is the correct approach.
I think, much as it may seem a little laborious, the most definite way you can do this is by drawing a tree diagram. You can draw out all the possible hands and calculate the probabilities that way. It is less sophisticated than the methods above using $^nC_r$, but also allows for less error. I'll attach an image of the diagram I've drawn up below and then talk through it.
Let the first card drawn have suit X, and the first card drawn not in suit X have suit Y. (Any subsequent suit drawn will be called Z).
Whatever the first card drawn is, that will be suit X. The next draw (the second column) will be one of two possibilities: either the card will be in the same suit as the first (going up from the first box, with a probability of $\frac{12}{51}$), or it will be different (going down, with a probability of $\frac{39}{51}$).
The next draws get a little more complicated. Let's take the scenario that we have two cards of the same suit first. There are two possibilities to follow: either the next card is also of the same suit (which we don't want), or it is of a different suit (which has a probability of $\frac{39}{50}$ (in the diagram I have only shown probabilities that lead to a successful outcome). From this, there is only one successful possibility - card 4 has the same suit as card 3 (a probability of $\frac{12}{49}$).
Let's now take the other half of the diagram, where card 1 and card 2 were different suits (the lower branch). Draw three has three possible outcomes:
For possibility 1, we currently have {X, Y, X}, and so to fulfil the criteria, we want another Y (the probability of drawing which is $\frac{12}{49}$). For possibility 2, we currently have {X, X, Y}, and so to fulfil the criteria, we want another X (the probability of this is also $\frac{12}{49}). We have now got all the possible routes to the answer.
Therefore, the probability (by the addition principle) will be:
$P(2\ \textrm{suit}\ 1, 2\ \textrm{suit}\ 2) = \Big(\frac{12}{51} \times \frac{39}{50} \times \frac{12}{49} \Big) + \Big(\frac{39}{51} \times \frac{12}{50} \times \frac{12}{49} \Big) + \Big(\frac{39}{51} \times \frac{12}{50} \times \frac{12}{49} \Big)$
From writing out the calculation, we now can see that the probability can be simplified to:
$P(2\ \textrm{suit}\ 1, 2\ \textrm{suit}\ 2) = 3 \times \Big(\frac{12^{2} \times 39}{51 \times 50 \times 49} \Big) = \frac{6 \times 12 \times 39}{17 \times 25 \times 49} = \frac{2808}{28025}$
which is equal to DreamConspiracy's answer of $\displaystyle 6 \Bigg( \frac{{13 \choose 2}^2}{{52 \choose 4}} \Bigg)$.
Hope this helps!