Just read the above exchange and I have no clue what's going on. You're all overcomplicating this. This is a simple case of using the binomial distribution. Let
X be the random variable "# of boxes containing exactly 1 egg with a double yolk" then you have 3 boxes, so that's
n=3 and the probability of a double yolk is
p=0.3412.
i.e: you have
X∼B(3,0.412) and you want to find "2 boxes containing exactly 1 egg with a double yolk" so you want
P(X=2).
Now look in your formula booklet and you should find that
P(X=2)=(23)(0.3412)2(1−0.3412)1.
This is basically the same thing as you did except you forgot the missing factor of
(23).
That's because you did 3 boxes: probability box 1 contains * probability box 2 contains * probability box 3 doesn't contain.
But really, there are three boxes: so you need to add all three probabilities up:
probability box
1 contains * probability box
2 contains * probability box
3 doesn't contain
probability box
1 contains * probability box
3 contains * probability box
2 doesn't contain
probability box
2 contains * probability box
3 contains * probability box
1 doesn't contain
The binomial distribution was invented precisely to avoid listing all these options down which gets tiresome when you do things with more than just 3 boxes, so use it. You'll get used to spotting it once you do more practice.
So sum up, you have a binomial distribution with
X∼B(3,0.3142) and you want
P(X=2).