A routine exercise for undergraduates says: Given that the number of successes in $20$ independent Bernoulli trials was $8,$ what is the conditional probability that exactly $3$ of those $8$ successes were in the first $10$ trials?
The answer (which actually does not depend on the probability of success on each trial, that information having been superseded by the event that there were $8$ among $20$) comes to $$ \frac{\binom{10}3 \binom{10}5}{\binom{20}8} \approx 0.240057156 $$ A fact treated as something of no interest in such exercises is this: \begin{align} & \frac{\binom{10}3 \binom{10}5}{\binom{20}8} = \frac{30\,240}{125\,970} = \frac{30\times1008}{30\times4199} \\[8pt] = {} & \frac{30\times(2^4\times3^2\times7)}{30\times(13\times17\times19)} \approx 0.240057156 \tag1 \end{align}
My question is whether the integers in the line $(1)$ above, and in particular those within the parentheses, have some interesting combinatorial significance?