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MATH: AP statistics probability question on the Game of Craps?
Hi I am currently working on a little project and I am very confused by the wording and meaning of this questions. The scenario is:
Suppose that you play 10 consecutive game of craps. We are interested in studying how many times you win on the first roll in these 10 games.
The question: Find the probability that you win on the first roll more times than expected.
For anyone that doesn't know the game of craps involve rolling 2 dice and the winning sums would be 7 and 11, the losing sums would be 2,3, or 12. Any other sum than those you role both dice again. So I already got that the probability of winning is 8/36 or 2/9 but I have no idea how to figure out this question:(
If you could help me and explain it would be greatly appreciated!
4 Answers
- ?Lv 78 years agoFavorite Answer
Jack
It sounds like Binomial with n = 10 and p = 2/9
The "expected" is equal to np = (10)(2/9) = 2.2
Using the Binomial find P(X > 2.2). Since this is a "discrete" distribution, only integers are possible. So, the P(X > 2.2) = P(X ≥ 3) which is also equal to the complement = 1 - P(X ≤ 2)
1 - P(X ≤ 2) = 1 - P(0) - P(1) - P(2)
If you use the Binomial formula with n=10 and p = 2/9 ...
1 - P(0) - P(1) - P(2) = 0.3899
So, the probability that you win on the first roll more times than expected is 0.3899
Hope that helps
- BrianLv 78 years ago
You are correct about the winning percentage of 2/9. So you would expect
to win (2/9) * 10 = 20/9 = 2.222... times.
So in 10 games you would win more times than expected if you win >= 3 times,
and you would lose more times than expected if you only win 0, 1 or 2 times.
So now we have a binomial distribution problem.
The probability of losing every time is (10 C 0) *(2/9)^0 * (7/9)^10.
The probability of winning exactly once is (10 C 1) *(2/9)^1 * (7/9)^9.
The probability of winning exactly twice is (10 C 2) *(2/9)^2 * (7/9)^8.
Adding these three values gives a probability of 0.61008. This is the probability
of winning fewer times than expected.
Thus the probability of winning more often than expected is 1 - 0.61008 = 0.3899,
or about 39%.