$\frac{12!}{2^6 \cdot 3! \cdot 3!} = {12 \choose 6} \cdot 5^2 \cdot 3^2 \cdot 1^2 $
I'm trying to formulate a combinatorial argument and have singled out a case of the two formulas above hoping to see if anyone can explain why the above is true. If so it may help me solve the argument for a general case. Any insight or tips would be much appreciated.
Here is what I know so far from the left side of the equation: $\frac{12!}{2^6 \cdot 3! \cdot 3!}$ it seems like we are dispersing $12$ distinct objects to two bins of size $3$ but also dividing all the possible subsets of size $6$ (denoted by $2^6$)? Don't know if that is true but this is what I'm inferring right now.
And the right side seems to first pick out a subset of size $6$, and a bit lost from there on what the $5^2 \cdot 3^2 \cdot 1^2$ denotes and how it can be interpreted with the subset of size $6$ using the product rule.
I believe this equality cannot be easy explained in combinatorial terms. More easy way is to show this directly: $$\frac{12!}{2^6\cdot 3!\cdot 3!}=\frac{12!}{6!\cdot6!}\cdot\left(\frac{6!}{2^3\cdot 3!}\right)^2= {12 \choose 6}\cdot\left(\frac{6!!\cdot 5!!}{2^3\cdot 3!}\right)^2={12 \choose 6}\cdot(5!!)^2={12 \choose 6}\cdot 5^2\cdot 3^2\cdot 1^2$$