Given 3 red balls, 197 black balls, and 5 bins. The balls are randomly distributed with 40 balls in each bin. What is the probability that the three red balls are in three separate bins (each of the three bins has one red ball; i.e., no two red balls are in the same bin)?
Different variants of this question has been asked – but somehow I still have trouble computing the correct probability.
One answer I found was:
$$\frac{\left(\begin{array}{l} 5 \\ 1 \end{array}\right)\left(\begin{array}{l} 4 \\ 1 \end{array}\right)\left(\begin{array}{l} 3 \\ 1 \end{array}\right)}{125} = 12/25$$
It only focuses on red balls, and there are 125 ways that 3 red balls can be allocated in bins.
However, another alternative way of computing this seems to be:
$$ \frac{5 \times {3 \choose 1} {199 \choose 39} {3 \choose 1} {199 \choose 39} {3 \choose 1} {199 \choose 39} {200 \choose 40} {200 \choose 40}}{{200 \choose 40}{200 \choose 40}{200 \choose 40}{200 \choose 40}{200 \choose 40}} = 27/25 $$
Obviously it seems that the alternative way is incorrect (it's above 1 as a probability). So my question is: is this alternative way of computing incorrect? How so? How can I fix it?