Die throwing probability question

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In summary, the problem involves calculating the mean and variance of the amount a player receives in a game where they earn $1 for each "five" or "six" rolled on a single die. Part a) of the problem can be solved using the binomial distribution with n=6 and p=1/3, while part b) can be solved using either the binomial or geometric distribution.
  • #1
elmarsur
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Homework Statement


Problem:
Suppose in a certain game a player receives $1 for each "five"
and each "six" thrown on a single die.
a. If the die is thrown six times, find the mean and variance of
the amount the player receives.
b. If the player throws repeatedly until he gets $10, find the
mean of the number of throws necessary



Homework Equations





The Attempt at a Solution


Attempt:
I think this is binomial. Then:
1a)
n=6
p=2/6 = 1/3
mean = n*p = 2
variance= n*p*(1-p) = 6*1/3*2/3 = 1/3
Is this correct?

1b)
If $10 is the amount gained,it means:
x=10 (successes)
n=trials
p=1/3
1-p=2/3

=> {n!/[x!(n-x)!]}*(p^10)*(1-p)^(n-10) ?
Is this correct, although tedious?

Thank you very much for any help.
 
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  • #2


Hello, thank you for your post. Your attempt at solving the problem is correct. This is indeed a binomial distribution, where each throw is a success if a "five" or "six" is rolled.

For part a), the mean and variance are calculated correctly using the formula for a binomial distribution.

For part b), your approach is correct but may be a bit tedious. Another approach to solving this problem would be to use the geometric distribution, since we are looking for the number of trials until a certain amount is reached. The mean of a geometric distribution is equal to 1/p, where p is the probability of success. So in this case, the mean would be 3 throws until the player reaches $10. However, your approach using the binomial distribution is also valid.

I hope this helps! Let me know if you have any further questions.
 

1. What is the probability of getting a specific number on a single die throw?

The probability of getting a specific number on a single die throw is 1/6, or approximately 16.67%. This is because there are six possible outcomes (the numbers 1-6) and each has an equal chance of occurring.

2. How do you calculate the probability of getting a certain sum from two die throws?

To calculate the probability of getting a certain sum from two die throws, you can use a probability distribution table or the formula P(A) = (n/36) x 100, where n is the number of ways the desired sum can be achieved. For example, the probability of getting a sum of 7 is 6/36 = 1/6, or approximately 16.67%.

3. What is the expected value of rolling two dice?

The expected value of rolling two dice is 7. This is because the average of all the possible outcomes (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12) is 7. To calculate the expected value, you can use the formula E(x) = (n x p), where n is the number of possible outcomes and p is the probability of each outcome.

4. How does the probability of getting a certain number change if you roll multiple dice?

The probability of getting a certain number does not change if you roll multiple dice. Each die has an equal chance of landing on any of its possible outcomes, regardless of how many dice are rolled. However, the probability of getting a certain sum may change as the number of dice increases, as there are more possible combinations that can result in that sum.

5. Is there an equal chance of getting the same number on two die throws in a row?

Yes, there is an equal chance of getting the same number on two die throws in a row. Each die throw is an independent event and the outcome of one throw does not affect the outcome of the next. Therefore, the probability of getting the same number twice in a row is the same as getting any other specific number twice in a row, which is 1/6 x 1/6 = 1/36, or approximately 2.78%.

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