Probability from randomized dice Suppose you have a pair of dice that have removable stickers for numbers on each of their 6 sides. Suppose that you unstick all 12 of the stickers from the dice and reapply them randomly to the 2 dice. You will still have 2 occurrences of each number 1 through 6. However, they may both occur on the same die. (For instance: after rearranging the stickers, you may have dice $d_1$ and $d_2$ with sides  $d_1 = [1,2,2,4,4,6]$ and $d_2 = [1,3,3,5,5,6]$.)
Suppose now that you roll this randomized pair of dice. Is there a concise way to calculate the probability of each outcome? What is the probability of each possible outcome? 
Just by working out some of the possible arrangements, it seems like $p(2)$ should be $\frac{1}{72}$ (which might not be correct), but the other probabilities are more difficult to compute this way.
 A: The problem can be viewed as picking $2$ numbers from list of twelve numbers $1$,$1$,$2$,$2$,$3$,$3$,$4$,$4$,$5$,$5$,$6$,$6$ and looking at their sum.
Now there are $12 \cdot 11 = 132$ ways to pick two numbers from the list. In how many ways we can pick two same (specific) numbers? There are apparently exactly $2$ ways to do it (depends on which of the same two numbers you pick first). In how many ways we can pick two different numbers in given order (e.g. $1,2$)? There are exactly $2\cdot2 = 4$ ways to do it ($2$ two choices for first pick, $2$ choices for second pick).
Now for the sums, in how many ways we can get sum $2$? That is possible only as $1+1$, which by reasoning above can happen $2$ times (we have to pick two same numbers), so probability is $$p(2)=\frac{2}{132}=\frac{1}{66}$$
In how many ways can we get sum $3$? We have $3=1+2=2+1$ and again by reasoning above there is overall $4+4=8$ possibilities. This is because to get $2+1$ we need to pick two different numbers (and we know that is possible in $4$ ways), same for $1+2$. So probability is $$p(3)=\frac{8}{132}=\frac{2}{33}$$
Similarly $4=1+3=2+2=3+1$ with $4+2+4=10$ possibilities, so probability is $$p(4)=\frac{10}{132}=\frac{5}{66}$$
And so on...
A: Here's a formula that generalizes to more digits. 
Let's label the dice A and B, and write $(i,j)$ for the getting $i$ on A and $j$ on $B$. Consider the following two cases. 


*

*$i=j$. This can only happen if we have exactly one $i$ on each die.  The probability of this is  $\frac{ 2\binom{10}{5}}{\binom{12}{6}}$ (chose one of the two  $i$'s on A and the other on B,  then choose $5$ more numbers from the remaining $10$ for die A). Once we have exactly one $i$ on each die, the probability of both landing $i$, is $\frac 16 \times\frac 16$. 
Therefore 
$$P( (i,i)) = \frac{ 2\binom{10}{5}}{\binom{12}{6}} \frac{1}{36}=\frac{1}{66}$$ 

*$i\ne j$. Since this is independent of the choice of $i$ and $j$, and there are exactly $6*5=30$ such pairs, the probability is equal to 
$$ \frac {1}{30} (1- \sum_{i} P( (i,i) )=\frac{1}{30}(1-\frac {1}{11})=\frac {1}{33}.$$ 


Now it remains to find the probability of a sum equal to $k$. 
a. If $k\le 7$, there are exactly $k-1$ ways to write it: $ (1,k-1),(2,k-2),\dots, (k-1,1)$. Now if $k$ is odd, then in all of these $i\ne j$. Therefore the probability is $(k-1)/33$. If $k$ is even, then  exactly one of these is of the form $i=j$, therefore the answer is $(k-2)/33 + 1/66$.
b.  Finally if $k \ge 8$, and $(i,j)$ is such that $i+j=k$. Then $(7-i,7-j)$ has exactly the same probability,  and has sum between $\{2,\dots,6\}$. Therefore the probability to get $k$ is the same as the probability to get $14-k$. 
In other words, the distribution of the sum is symmetric about $7$. 
A: I wrote a basic Python program to find the distribution of the different values. There are ${12 \choose 6} = 924$ ways to select six values out of twelve, so the number of possible value distributions equals $\frac{924}{2} = 462$. For each of these combinations, I increased the probability of the 36 combinations of the two dice, resulting in the following probabilities:
 2 - 0.0152 -  1/66
 3 - 0.0606 -  4/66
 4 - 0.0758 -  5/66
 5 - 0.1212 -  8/66
 6 - 0.1364 -  9/66
 7 - 0.1818 - 12/66
 8 - 0.1364 -  9/66
 9 - 0.1212 -  8/66
10 - 0.0758 -  5/66
11 - 0.0606 -  4/66
12 - 0.0152 -  1/66

For instance, to get a 2 we need the two 1's to be on two different dice (probability $\frac{6}{11}$), in which case the probability of hitting a 2 equals $\frac{1}{36}$. The total probability of getting a 2 thus equals $\frac{5}{11} \cdot 0 + \frac{6}{11} \cdot \frac{1}{36}=\frac{1}{66} \approx 0.0152$. The Python program:
import itertools
import math
from collections import defaultdict

values = [x for x in range(1, 13)]
d = defaultdict(int)

for v in itertools.combinations(values, 6):
    w = [x for x in values if x not in v]
    for i in range(6):
        for j in range(6):
            d[math.ceil(v[i]/2) + math.ceil(w[j]/2)] += 1/36/924

for k in d:
    print(k, d[k])

