Just need a little explanation. Dice Problem

In summary: So it's like they did 3 sets where there are 3 permutations and then multiplied it by 2 because we have two different outcomes.In summary, we are trying to find the probability of rolling three distinct dice where the highest value is twice the smallest value. After considering all possible dice rolls, we can see that there are 3 possible arrangements in the form of [x|x|y] and [x|y|y]. However, there are also 6 permutations of three distinct values, so the final answer is given by $(6*3)+(3*6)$ or $(3*3!)+(3*3!)$.
  • #1
Enzipino
13
0
I know this should be easy to understand but I just need a little clarification on the last part of my answer for this problem:

If three distinct dice are rolled, what is the probability that the highest value is twice the smallest value

I started this problem with the understanding that there were 3 possibilities in which the highest value would be twice the smallest: [1|2], [2|4], and [3|6]

Then my possible dice rolls would be:
[1|1|2], [1|2|2], [2|2|4], [2|3|4], [2|4|4], [3|3|6], [3|4|6], [3|5|6], [3|6|6]

From here I can see that there are 3 possible rearrangements of the form [x|x|y] and [x|y|y]. This is where I get stuck. My book has the final answer as: $\frac{(6*3)+(3*6)}{216}$ I understand where the 216 comes from. I just need clarification on the numerator as to where the 6 is coming from and why it's $(6*3) + (3*6)$
 
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  • #2
Enzipino said:
I know this should be easy to understand but I just need a little clarification on the last part of my answer for this problem:

If three distinct dice are rolled, what is the probability that the highest value is twice the smallest value

I started this problem with the understanding that there were 3 possibilities in which the highest value would be twice the smallest: [1|2], [2|4], and [3|6]

Then my possible dice rolls would be:
[1|1|2], [1|2|2], [2|2|4], [2|3|4], [2|4|4], [3|3|6], [3|4|6], [3|5|6], [3|6|6]

From here I can see that there are 3 possible rearrangements of the form [x|x|y] and [x|y|y]. This is where I get stuck. My book has the final answer as: $\frac{(6*3)+(3*6)}{216}$ I understand where the 216 comes from. I just need clarification on the numerator as to where the 6 is coming from and why it's $(6*3) + (3*6)$
Hi Enzipino,

I'm also trying to see why they wrote it this way... maybe it will come to me. In the mean time we can get the answer the way you listed it.

You are correct there are 3 ways to arrange a list xxy, where order matters (and we are counting like it does). What about if you have xyz though? It's not 3 ways. How many is it?

You have 9 situations to count but they don't all have the some number of unique arrangements.
 
  • #3
Jameson said:
Hi Enzipino,

I'm also trying to see why they wrote it this way... maybe it will come to me. In the mean time we can get the answer the way you listed it.

You are correct there are 3 ways to arrange a list xxy, where order matters (and we are counting like it does). What about if you have xyz though? It's not 3 ways. How many is it?

You have 9 situations to count but they don't all have the some number of unique arrangements.

I believe the xyz part is where I'm getting messed up at. I can see 3 but do I multiply it by 2 because we have two different outcomes? That is we have the first situation being [2|4] and the other in [3|6]? If that's the case then we'd have 6.
 
  • #4
Enzipino said:
I believe the xyz part is where I'm getting messed up at. I can see 3 but do I multiply it by 2 because we have two different outcomes? That is we have the first situation being [2|4] and the other in [3|6]? If that's the case then we'd have 6.

When we have three distinct values there are 6 permutations of them. I'll list them - xyz, xzy, yxz, yzx, zyx, zxy.

For the xyy kind, there are just three. When you apply this to the list you made how many do you end up with?
 
  • #5
Jameson said:
When we have three distinct values there are 6 permutations of them. I'll list them - xyz, xzy, yxz, yzx, zyx, zxy.

For the xyy kind, there are just three. When you apply this to the list you made how many do you end up with?

Listing out all the forms of xyz, I have 18. (Kinda seeing where the $6*3$ part is starting to play in).
 
  • #6
I was talking about something like this:

[1|1|2] (3 perms) , [1|2|2] (3 perms) , [2|2|4] (3 perms), [2|3|4] (6 perms), [2|4|4] (3 perms), [3|3|6] (3 perms) , [3|4|6] (6 perms), [3|5|6] (6 perms) , [3|6|6] (3 perms)

Ah, I think I see where their notation comes from now. We have 6 sets where there are 3 permutations and 3 sets where there are 6 permutations.
 
  • #7
Jameson said:
I was talking about something like this:

[1|1|2] (3 perms) , [1|2|2] (3 perms) , [2|2|4] (3 perms), [2|3|4] (6 perms), [2|4|4] (3 perms), [3|3|6] (3 perms) , [3|4|6] (6 perms), [3|5|6] (6 perms) , [3|6|6] (3 perms)

Ah, I think I see where their notation comes from now. We have 6 sets where there are 3 permutations and 3 sets where there are 6 permutations.

Oh, I apologize. So then that would be why they did $(6*3)+(3*6)$. I see it now. Well could we have done the numerator in another way?

EDIT: OH They have another way to do the numerator which is $(3*3!)+(3*3!)$ which comes out to the same result.
 
Last edited:

FAQ: Just need a little explanation. Dice Problem

What is the "dice problem"?

The "dice problem" refers to a theoretical probability problem in which a person rolls a pair of fair, six-sided dice and has to correctly guess the sum of the two numbers rolled.

How do you solve the "dice problem"?

The "dice problem" can be solved by using basic probability principles. First, you have to determine the total number of possible outcomes (36) when rolling two dice. Then, you can create a table or a tree diagram to visualize all the possible combinations of the dice rolls and their corresponding sums. From there, you can calculate the probability of getting each sum and use that information to make an educated guess.

Is there a mathematical formula for solving the "dice problem"?

Yes, there is a mathematical formula for solving the "dice problem." The formula is: P(sum) = Number of ways to get the sum / Total number of possible outcomes. For example, the probability of rolling a 7 is 6/36 = 1/6.

Can the "dice problem" be applied to real-life situations?

Yes, the "dice problem" can be applied to real-life situations that involve probability and guessing. For example, it can be used to calculate the chances of winning a game of craps in a casino.

Are there any variations of the "dice problem"?

Yes, there are variations of the "dice problem" that involve different types of dice, such as non-standard or loaded dice, or different numbers of dice. These variations can make the problem more challenging and require different approaches to solve.

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