Spin a dial that has a pointer to n regions

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In summary, the probability of getting a sum of n when you spin the dial three times is \frac{1}{2^{n}(n-3)!}
  • #1
lizarton
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Consider a dial having a pointer that is equally likely to point to each of [itex]n[/itex] region numbered [itex]1,2,...,n.[/itex] When we spin the dial three times, what is the probability that the sum of the selected numbers is [itex]n[/itex]?

I have to use summations, and I'm sure binomial coefficients. I believe that this is a selection; it seems to imitate rolling an [itex]n[/itex]-sided die three times, but I even have trouble computing that problem.

The total number of outcomes is [itex]n^3[/itex] (I think)

I started counting ordered triples of some n terms...

[itex]n=3:[/itex] There is only one way, [itex]{(1,1,1)}[/itex]
[itex]n=4:[/itex] There are 3 ways, [itex]{(1,2,1),(1,1,2),(2,1,1)}[/itex]
[itex]n=5:[/itex] There are 6 ways, [itex]{(1,1,3),(1,2,2),(1,3,1),(2,1,2,),(2,2,1),(3,1,1)}[/itex]
[itex]n=6:[/itex] There are 10 ways...
[itex]n=7:[/itex] 15 ways...

For arbitrary n, you can start making ordered triples...
[itex](1,1,n-2)
(1,2,n-3)
(1,3,n-4)
\ldots
(1,n-2,1)
(1,n-3,2)
\ldots
[/itex]

A Theorem I believe is relevant:
With repetition allowed, there are [itex]\left(\stackrel{n+k-1}{k - 1}\right)[/itex] ways to select [itex]n[/itex] objects from [itex]k[/itex] types. This also equals the number of nonnegative integer solutions to [itex]x_{1} + \ldots + x_{k} = n.[/itex]

My problem is identifying [itex]n[/itex] and [itex]k[/itex] in these problems. Any help would be greatly appreciated!
 
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  • #2
If I understand you, you want to know the probability of getting a sum = n for in k tries where n is a positive integer and the regions are the natural numbers: 1, 2, 3, ...n. This involves compositions of integers which you demonstrated. The formula for the number of compositions for any natural number n is [itex] 2 ^ {n-1} [/itex]. Since you are only interested in the compositions of three integers (k=3) and are not including zero, the formula is (n-1)!/(k-1)!(n-k)!

How would you use this information to find the probability for n=9, k=3?
 
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  • #3
Thanks for replying!
Are compositions the same as selections in this context? If so, here's my attempt, provided I understand you correctly:

For [itex]n = 9[/itex] and [itex]k = 3[/itex], the total number of compositions would be [itex]2^{8}[/itex].

Then the number of favorable outcomes/compositions would be [itex]\frac{8!}{2!6!}[/itex].

So the probability that the sum of the regions equals 9 is [itex]\frac{8*7}{2^{9}}[/itex].

So then, to answer the question in general for arbitrary [itex]n[/itex], the probability is

[itex]\frac{(n-1)!}{2^{n}(n-3)!} = \frac{1}{2^{n}(n-3)(n-2)}[/itex]?
 
  • #4
lizarton said:
Thanks for replying!

So then, to answer the question in general for arbitrary [itex]n[/itex], the probability is

[itex]\frac{(n-1)!}{2^{n}(n-3)!} = \frac{1}{2^{n}(n-3)(n-2)}[/itex]?

Think about it. The probability is a fraction. Both the numerator and denominator is (n-1)!/(k-1)!(n-k)!. What are n and k for the numerator and denominator respectively?
 
  • #5
For the denominator, we would have [itex]n=k[/itex], right? The formula I wrote for arbitrary [itex]n[/itex] has been simplified; [itex](3-1)!=2[/itex], and I divided the entire quantity by [itex]2^{n-1}[/itex]. I'm not sure that I understand the relationship we draw here between [itex]2^{n-1}[/itex] and [itex]\frac{(n-1)!}{(k-1)!(n-k)!}[/itex]. Was my estimate for [itex]n=9, k=3[/itex] correct?
 
  • #6
lizarton said:
For the denominator, we would have [itex]n=k[/itex], right? The formula I wrote for arbitrary [itex]n[/itex] has been simplified; [itex](3-1)!=2[/itex], and I divided the entire quantity by [itex]2^{n-1}[/itex]. I'm not sure that I understand the relationship we draw here between [itex]2^{n-1}[/itex] and [itex]\frac{(n-1)!}{(k-1)!(n-k)!}[/itex]. Was my estimate for [itex]n=9, k=3[/itex] correct?

If I understand your problem correctly, you spin the dial just 3 times and it can stop at any number 1-9. Your question is the probability that the sum of three spins will be exactly 9. However, it's possible the dial can stop, for example, at 9 three times, no?
 
  • #7
The dial can stop at any arbitrary natural number [itex]1..n[/itex]. The number of regions isn't specified further than that, but there are [itex]k=3[/itex] trials that we consider. The problem asks to compute the probability that the sum of the three spins will equal [itex]n[/itex]. However, your version of the problem is just a simpler case of the general problem I need to solve, I believe.
 
  • #8
lizarton said:
The dial can stop at any arbitrary natural number [itex]1..n[/itex]. The number of regions isn't specified further than that, but there are [itex]k=3[/itex] trials that we consider. The problem asks to compute the probability that the sum of the three spins will equal [itex]n[/itex]. However, your version of the problem is just a simpler case of the general problem I need to solve, I believe.

Well then, I'm not sure what you're trying to do. Just say n instead of 9. The dial can still stop at n three times, no? How do you account for sums larger than n? If I understand you, you can have sums up to n*k.
 
  • #9
Yes, the largest possible sum would be [itex]3n[/itex].

Using my formula above, the number of ways that the 3 trials can add up to n is [itex]\left(\stackrel{n+3-1}{3 - 1}\right) = \left(\stackrel{n + 2}{2}\right)[/itex]

Does that seem right to you? Since I'm looking for the number of nonnegative integer solutions to [itex]x_{1} + x_{2} + ... + x_{k} = n[/itex], where the number of trials is [itex]k = 3[/itex].

Then the total number of outcomes is [itex]n^{k}[/itex] by the product rule.

This gives the probability as
[itex]\frac{\left(\stackrel{n + 2}{2}\right)}{n^{3}}[/itex].

Does this look correct to you?
 
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  • #10
lizarton said:
Yes, the largest possible sum would be [itex]3n[/itex].

Using my formula above, the number of ways that the 3 trials can add up to n is [itex]\left(\stackrel{n+3-1}{3 - 1}\right) = \left(\stackrel{n + 2}{2}\right)[/itex]

Does that seem right to you? Since I'm looking for the number of nonnegative integer solutions to [itex]x_{1} + x_{2} + ... + x_{k} = n[/itex], where the number of trials is [itex]k = 3[/itex].

Then the total number of outcomes is [itex]n^{k}[/itex] by the product rule.

This gives the probability as
[itex]\frac{\left(\stackrel{n + 2}{2}\right)}{n^{k}}[/itex].

Does this look correct to you?

No. Your problem is to find the number of compositions of length k for n and for kn. The probability then becomes the fraction of the former over the latter. The proper formula for the number of compositions of length k for n is the factorial one I gave you. I suggest you look up compositions and verify this formula for yourself before you respond.
 
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  • #11
I looked up compositions, and after some research I think you may have meant to say that we seek combinations, the number of ways of picking [itex]k[/itex] unordered outcomes from [itex]n[/itex] possibilities. I have not dealt with either of these terms in my class, so I apologize for not recognizing them off-hand.

If my reckoning of the number of ways this can happen (all the way at the top) is correct with [itex]n=3,4,5,6,7[/itex], then the coefficient that will give me the number of ways this can happen for arbitrary [itex]n[/itex] is [itex]\left(\stackrel{n-1}{2}\right) = \frac{1}{2} (n-2)(n-1)[/itex].

The probability is this quantity divided by the total number of outcomes.

Thanks for your help.
 

1. What is the purpose of spinning a dial with a pointer to n regions?

The purpose of spinning a dial with a pointer to n regions is to randomly select one of the n regions. This can be used in various experiments or games that require a random selection process.

2. How many regions can the dial with a pointer have?

The dial with a pointer can have any number of regions, from as few as 2 to as many as desired. The number of regions is typically determined by the needs of the experiment or game being conducted.

3. How is the pointer positioned on the dial?

The pointer is usually positioned by either spinning the dial or using a random number generator. Some dials may also have a specific mechanism for positioning the pointer, such as a lever or knob.

4. Can the dial with a pointer be used for biased selection?

It is not recommended to use a dial with a pointer for biased selection, as the purpose of the pointer is to provide a random selection. Biased selection can be achieved with other tools or methods that are better suited for that purpose.

5. What are some real-world applications of a dial with a pointer to n regions?

A dial with a pointer can be used in various scientific experiments, such as randomized controlled trials or studies that require random selection of participants. It can also be used in games or activities that involve chance or probability, such as a spinning wheel in a casino or a game of chance at a fair.

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