Discrete Probability - error with question?

In summary, on a long train journey, a statistician is invited by a gambler to play a dice game. The game uses 2 unbiased ordinary dice and if the total score is 12, the statistician is paid 3 dollars by the gambler. However, if both or either dice show a '1', the statistician pays the gambler 2 dollars. The probability of X=6 is not specified in the question, leading to uncertainty about the outcome of the game. Without this information, it is impossible to determine the probabilities of X=6, X=3, and X=-2.
  • #1
cyt91
53
0

Homework Statement


On a long train journey, a statistician is invited by a gambler to play a dice game. The game uses 2 unbiased ordinary dice which the statistician is to throw. If the total score is 12, the statistician is paid 3 dollars by the gambler. However,if both or either dice show a '1', the statistician pays the gambler 2 dollars.

Let X= amount paid to the statistician by the gambler after the dice are thrown once.

Determine the probability that X=6,X=3 and X=-2.


I have one question...how do we determine the probability that X=6 since the question states that the statistician is paid 3 dollars by the gambler if the total score is 12 and X is the amount paid to the statistician after the dice are thrown once?

There's an error with the question isn't it? I need a second opinion on this. Thank you.
 
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  • #2
Doesn't look like there's an error to me :D
 
  • #3
How do you find the probability of X=6?
And the question states that X is the amount paid to the statistician in after the dice are thrown...once?
 
  • #4
cyt91 said:

Homework Statement


On a long train journey, a statistician is invited by a gambler to play a dice game. The game uses 2 unbiased ordinary dice which the statistician is to throw. If the total score is 12, the statistician is paid 3 dollars by the gambler. However,if both or either dice show a '1', the statistician pays the gambler 2 dollars.
You are leaving out important information: What happens if the roll is, say 3, 3 so that neither condition is met? The probability that "both or either dice show a '1'" is 11/36 and the probability that "the total score is 12" is 1/36 so that there is a probability of 2/3 that neither condition is met.

Let X= amount paid to the statistician by the gambler after the dice are thrown once.

Determine the probability that X=6,X=3 and X=-2.


I have one question...how do we determine the probability that X=6 since the question states that the statistician is paid 3 dollars by the gambler if the total score is 12 and X is the amount paid to the statistician after the dice are thrown once?

There's an error with the question isn't it? I need a second opinion on this. Thank you.
Yes, you need to know what happens if neither condition is met. Surely the statistician isn't dumb enough to agree to pay the gambler $6 if neither condition is met!
 
  • #5
HallsofIvy said:
You are leaving out important information: What happens if the roll is, say 3, 3 so that neither condition is met? The probability that "both or either dice show a '1'" is 11/36 and the probability that "the total score is 12" is 1/36 so that there is a probability of 2/3 that neither condition is met.


Yes, you need to know what happens if neither condition is met. Surely the statistician isn't dumb enough to agree to pay the gambler $6 if neither condition is met!

Ok. So there is an error with the question. Thanks a lot for your opinion.
 

1. What is Discrete Probability?

Discrete Probability is a branch of mathematics that deals with the study of random processes and events that have a finite or countable number of outcomes. It is used to calculate the likelihood of an event occurring in a given set of circumstances.

2. What is the difference between discrete and continuous probability?

The main difference between discrete and continuous probability is that discrete probability deals with events that have a finite or countable number of outcomes, while continuous probability deals with events that have an infinite number of possible outcomes.

3. What is the formula for calculating discrete probability?

The formula for calculating discrete probability is P(E) = (number of favorable outcomes) / (total number of possible outcomes).

4. How is discrete probability used in real life?

Discrete probability is used in various fields such as finance, insurance, and manufacturing to predict the likelihood of certain events occurring. It is also used in gambling and sports to calculate odds and make informed decisions.

5. Can discrete probability be applied to non-numerical data?

Yes, discrete probability can be applied to non-numerical data by assigning numerical values or categories to the data and using them to calculate probabilities. For example, in a survey where respondents are asked to rate their satisfaction on a scale of 1 to 5, this data can be converted into numerical values and used to calculate the probability of a certain satisfaction level.

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