Consider four boxes, numbered $1$ to $4$. We throw four balls in the boxes in such a way that each ball ends up in any particular box with probability $1/4$, and in such a way that different balls are thrown independently. What is the probability that there will be at least one empty box?
My method produced the wrong answer and I would like to know why and how this method is wrong. The correct answer is given by $\frac{29}{32}$.
What I did: Consider the event that precisely $i$ boxes are empty, $A_i$. The probability of the event that at least $1$ is empty is given by $P(A_1 \cup A_2 \cup A_3) = P(A_1) + P(A_2) + P(A_3) - P(A_1 \cap A_2) - P(A_2 \cap A_3) - P(A_3 \cap A_1)$ + $P(A_1 \cap A_2 \cap A_3)$ clearly the intersections correspond to the empty set because there are no outcomes where there are exactly $2$ empty boxes and exactly $1$ empty box for example. Hence,
$$ P(A_1 \cup A_2 \cup A_3) = P(A_1) + P(A_2) + P(A_3) $$
Where, For instance we define, $$ P(A_1) = \binom{4}{1} (\frac{3}{4})^{1}(\frac{1}{4})^{3} $$
Because we can think of it as performing $4$ different independent coin tosses with probability $\frac{3}{4}$ of "succeeding" and $\frac{1}{4}$ of not "succeeding" with $\binom{4}{1}$ ways of choosing a single empty box. Subsequently,
$$ P(A_2) = \binom{4}{2}(\frac{3}{4})^2(\frac{1}{4})^2 $$
and,
$$ P(A_3) = \binom{4}{3}(\frac{3}{4})^{3}(\frac{1}{3})^{1} $$
Their sum doesn't correspond to the correct answer. Any explanation on why the correct answer happens to be $\frac{29}{32}$ would also be appreciated.