The Bizzare Dice

A die is selected at random from an urn that contains two six-sided dice. Die number 1 1 has three faces with the number 2 2 while one face each has the numbers 1 , 3 , 1, 3, and 4 4 . Die number 2 2 has three faces with the number 4 4 while one face each has the numbers 1 , 2 , 1, 2, and 3 3 . The first five rolls of the die yielded the numbers 2 , 3 , 4 , 1 , 2, 3, 4, 1, and 4 4 in that order. The probability that the selected die was die number 2 2 can be expressed as p q \,\dfrac{p}{q} . Calculate p + q \,p+q .


The answer is 7.

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4 solutions

Finn Hulse
Apr 8, 2014

This is a really fantastic problem! As for the solution, there are two ways to tackle this problem. We can apply Bayes' Law, which is a really cool theorem that you can read about here . I have a much simpler solution that is a bit more intuitive:

First let us calculate what the probability that if Dice 1 is picked that that particular sequence occurs. This is simply 1 5184 \frac{1}{5184} . Notice that if Dice 2 is picked, the probability that the sequence occurs is 1 1728 \frac{1}{1728} . It is obvious that Dice 2 is three times more likely to roll that particular sequence! Read that line again: Dice 2 is three times more likely to roll that particular sequence! So if we've established that, then the probability that it is indeed Dice 2 is 3 4 \frac{3}{4} , thus the answer is 3 + 4 = 7 3+4=\boxed{7} and we're done! No messiness, no weird manipulations, not a lot of LaTeX! Always simplify problems, they produce beautiful results. :D

3/4 = 6/8 so, your solution would be good, if the problem would say p, q relative coprimes, but it doesn´t say it

Guillermo Templado - 5 years, 8 months ago
Tunk-Fey Ariawan
Mar 27, 2014

Let D 1 \text{D}_1 be the die number 1 1 , D 2 \text{D}_2 be the die number 2 2 , and N \text{N} be the first five rolls of the die. D 1 \text{D}_1 , D 2 \text{D}_2 , and N \text{N} are random variables. We use Bayesian approach. Pr [ D 1 ] = Pr [ D 2 ] = 1 2 , Pr [ N = 2 D 1 ] = 3 6 = 1 2 , Pr [ N = 1 D 1 ] = Pr [ N = 3 D 1 ] = Pr [ N = 4 D 1 ] = 1 6 , Pr [ N = 4 D 2 ] = 3 6 = 1 2 , Pr [ N = 1 D 2 ] = Pr [ N = 2 D 2 ] = Pr [ N = 3 D 2 ] = 1 6 , \begin{aligned} &\text{Pr}[\text{D}_1]=\text{Pr}[\text{D}_2]=\frac{1}{2},\\ &\text{Pr}[\text{N}=2|\text{D}_1]=\frac{3}{6}=\frac{1}{2},\\ &\text{Pr}[\text{N}=1|\text{D}_1]=\text{Pr}[\text{N}=3|\text{D}_1]=\text{Pr}[\text{N}=4|\text{D}_1]=\frac{1}{6},\\ &\text{Pr}[\text{N}=4|\text{D}_2]=\frac{3}{6}=\frac{1}{2},\\ &\text{Pr}[\text{N}=1|\text{D}_2]=\text{Pr}[\text{N}=2|\text{D}_2]=\text{Pr}[\text{N}=3|\text{D}_2]=\frac{1}{6}, \end{aligned} and N = 2, 3, 4, 1, 4 . \text{N}=\text{{2, 3, 4, 1, 4}}. Therefore Pr [ D 2 N = 2 , 3 , 4 , 1 , 4 ] = Pr [ N = 2 , 3 , 4 , 1 , 4 D 2 ] Pr [ D 2 ] Pr [ N = 2 , 3 , 4 , 1 , 4 D 1 ] Pr [ D 1 ] + Pr [ N = 2 , 3 , 4 , 1 , 4 D 2 ] Pr [ D 2 ] = 1 6 1 6 1 2 1 6 1 2 1 6 1 2 1 2 1 6 1 6 1 6 1 6 1 6 1 2 + 1 6 1 6 1 2 1 6 1 2 1 6 1 2 = 3 4 . \begin{aligned} \text{Pr}[\text{D}_2|\text{N}=2, 3, 4, 1, 4]&=\frac{\text{Pr}[\text{N}=2, 3, 4, 1, 4|\text{D}_2]\cdot\text{Pr}[\text{D}_2]}{\text{Pr}[\text{N}=2, 3, 4, 1, 4|\text{D}_1]\cdot\text{Pr}[\text{D}_1]+\text{Pr}[\text{N}=2, 3, 4, 1, 4|\text{D}_2]\cdot\text{Pr}[\text{D}_2]}\\ &=\frac{\frac{1}{6}\cdot\frac{1}{6}\cdot\frac{1}{2}\cdot\frac{1}{6}\cdot\frac{1}{2}\cdot\frac{1}{6}\cdot\frac{1}{2}}{\frac{1}{2}\cdot\frac{1}{6}\cdot\frac{1}{6}\cdot\frac{1}{6}\cdot\frac{1}{6}\cdot\frac{1}{6}\cdot\frac{1}{2}+\frac{1}{6}\cdot\frac{1}{6}\cdot\frac{1}{2}\cdot\frac{1}{6}\cdot\frac{1}{2}\cdot\frac{1}{6}\cdot\frac{1}{2}}\\ &=\frac{3}{4}. \end{aligned} Thus, p + q = 3 + 4 = 7 p+q=3+4=\boxed{\color{#3D99F6}{7}} .


# Q . E . D . # \Large\color{#3D99F6}{\text{\# }\mathbb{Q.E.D.}\text{ \#}}


Kevin Bourrillion
Apr 26, 2014

There are three equally-likely ways to get this roll with die one (3x1x1x1x1), and nine equally-likely ways to get it with die two (1x1x3x1x3). We exclude all cases but these 12. 9/12, or 3/4 of them used die 2.

Utkarsh Goel
Jun 2, 2014

Its a very easy problem based on Bayes theorem

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