What is the Joint Probability Function for Rolling a Balanced Die Twice?

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SUMMARY

The joint probability function for rolling a balanced die twice, where X represents the number of 4s and Y represents the number of 5s, is defined as f(x,y) = \frac{(_{2}C_{x})(_{2}C_{y})}{36}. However, this formula fails to account for the dependency between the outcomes of X and Y. Specifically, if two 5s are rolled, then zero 4s must be rolled, and vice versa. The correct approach recognizes that the probabilities of X and Y are interdependent, leading to the conclusion that the probability of rolling x 5s corresponds directly to rolling y = 2 - x 4s.

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Consider an experiment that consists of 2 rolls of a balanced die. If X is the number of 4s and Y is the number of 5s obtained in the 2 rolls of the die, find the joint probability function.


f(x,y) = \frac{(_{2}C_{x})(_{2}C_{y})}{36}

because there are _{2}C_{x} ways to combine x 4s and _{2}C_{y} ways to combine y 5s, and 36 possible combinations from a throw with 2 dice.

However, this formula doesn't give me the correct probability distribution of X and Y. What's my mistake?
 
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The number of 5s and 4s are not independent. If you roll two 5s you MUST roll 0 4s. If you roll 1 5 you MUST roll 1 4. If you roll 2 4s you MUST roll two 4s.
The correct probability of rolling x 5s and y 4s is exactly equal to the probability of rolling x 5s (x 0, 1, or 2) which is also equal to the probability of rolling y= 2-x 4s.
 

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