Two pair o' dice

Hinkle and Binkle each rolls a pair of six-sided dice. So, they each will end up with a total between 2 and 12. What is the probability that that they both have the same total? Provide your answer to three decimal places.


Image credit: http://cs.wellesley.edu


The answer is 0.113.

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2 solutions

Zach Abueg
Aug 9, 2017

The probability of rolling a sum S S is 1 36 \dfrac{1}{36} times the number of ways n ( S ) n(S) to write S S as an ordered sum of two numbers from 1 1 to 6 6 . Using stars and bars, we have

n ( 2 ) = ( 0 + 2 1 2 1 ) = 1 n ( 3 ) = ( 1 + 2 1 2 1 ) = 2 n ( 4 ) = ( 2 + 2 1 2 1 ) = 3 n ( 5 ) = ( 3 + 2 1 2 1 ) = 4 n ( 6 ) = ( 4 + 2 1 2 1 ) = 5 n ( 7 ) = ( 5 + 2 1 2 1 ) = 6 n ( 8 ) = ( 6 + 2 1 2 1 ) 2 = 5 n ( 9 ) = ( 7 + 2 1 2 1 ) 4 = 4 n ( 10 ) = ( 8 + 2 1 2 1 ) 6 = 3 n ( 11 ) = ( 9 + 2 1 2 1 ) 8 = 2 n ( 12 ) = ( 10 + 2 1 2 1 ) 10 = 1 \displaystyle \begin{aligned} n(2) & = \binom{0 + 2 - 1}{2 - 1} = 1 \\ n(3) & = \binom{1 + 2 - 1}{2 - 1} = 2 \\ n(4) & = \binom{2 + 2 - 1}{2 - 1} = 3 \\ n(5) & = \binom{3 + 2 - 1}{2 - 1} = 4 \\ n(6) & = \binom{4 + 2 - 1}{2 - 1} = 5 \\ n(7) & = \binom{5 + 2 - 1}{2 - 1} = 6 \\ n(8) & = \binom{6 + 2 - 1}{2 - 1} - 2 = 5 \\ n(9) & = \binom{7 + 2 - 1}{2 - 1} - 4 = 4 \\ n(10) & = \binom{8 + 2 - 1}{2 - 1} - 6 = 3 \\ n(11) & = \binom{9 + 2 - 1}{2 - 1} - 8 = 2 \\ n(12) & = \binom{10 + 2 - 1}{2 - 1} - 10 = 1 \end{aligned}

The probability of rolling S S twice by the product rule is ( n ( S ) 36 ) 2 \left(\dfrac{n(S)}{36}\right)^2 , or

1 3 6 2 ( 2 k = 1 5 k 2 + 6 2 ) = 1 3 6 2 ( 5 ( 5 + 1 ) ( 10 + 1 ) 3 + 36 ) = 146 3 6 2 = 73 648 \displaystyle \frac{1}{36^2} \left(2 \sum_{k \ = \ 1}^{5} k^2 + 6^2\right) = \frac{1}{36^2} \left(\frac{5(5 + 1)(10 + 1)}{3} + 36\right) = \frac{146}{36^2} = \boxed{\dfrac{73}{648}}

Geoff Pilling
Aug 9, 2017

Let P ( n ) = P(n) = Probability they both have a total of n n .

Then,

  • P ( 2 ) = ( 1 36 ) 2 P(2) = (\frac{1}{36})^2
  • P ( 3 ) = ( 2 36 ) 2 P(3) = (\frac{2}{36})^2
  • P ( 4 ) = ( 3 36 ) 2 P(4) = (\frac{3}{36})^2
  • P ( 5 ) = ( 4 36 ) 2 P(5) = (\frac{4}{36})^2
  • P ( 6 ) = ( 5 36 ) 2 P(6) = (\frac{5}{36})^2
  • P ( 7 ) = ( 6 36 ) 2 P(7) = (\frac{6}{36})^2
  • P ( 8 ) = ( 5 36 ) 2 P(8) = (\frac{5}{36})^2
  • P ( 9 ) = ( 4 36 ) 2 P(9) = (\frac{4}{36})^2
  • P ( 10 ) = ( 3 36 ) 2 P(10) = (\frac{3}{36})^2
  • P ( 11 ) = ( 2 36 ) 2 P(11) = (\frac{2}{36})^2
  • P ( 12 ) = ( 1 36 ) 2 P(12) = (\frac{1}{36})^2

These are computed as follows... For example, for P ( 5 ) P(5) each person has 4 ways they can roll a 5 out of 36 possible rolls, so each person has a 4 36 \frac{4}{36} chance of rolling a 5. So,

P ( 5 ) = ( 4 36 ) 2 P(5) = (\frac{4}{36})^2

The others were calculated similarly.

So, the total probability is given by:

Probability = P ( n ) = 0.113 = \sum P(n) = \boxed{0.113}

How did you compute P ( 2 ) , P ( 3 ) , , P ( 12 ) P(2), P(3), \ldots , P(12) ?

Pi Han Goh - 3 years, 10 months ago

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There, I've clarified the solution a bit.

Geoff Pilling - 3 years, 10 months ago

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