Probability of die thrown repeatedly

In summary, the problem involves rolling a six-sided die repeatedly and defining X as the first score of 4 or more and Y as the first score of 5 or more. The joint probability distribution of (X,Y) is found and the marginal distributions of X and Y are also determined. The process involves reasoning out the possible values for X and Y and their corresponding probabilities, resulting in a crosstable. The number of rolls is not specified in the problem.
  • #1
Gregg
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Homework Statement



2. A six-sided die is rolled repeatedly. Let X denote the first score of 4 or
more and let Y denote the first score of 5 or more.

[For the sequence of rolls starting 4, 2, 6, 5, . . . we have X = 4, Y = 6; for the
sequence starting 6, 4, 3, . . . we have X = 6 = Y . ]

(a) Write down in a table the joint probability distribution of (X, Y ) and find the
marginal distributions of X and Y.

The Attempt at a Solution



Can do joint distributions but how to do for this where the number of rolls isn't specified?
 
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  • #2
I think this makes it more obvious
p(X=4)=1/3
p(X=5)=1/3
p(X=6)=1/3

p(Y=5)=1/2
p(Y=6)=1/2
 
  • #3
Gregg said:
I think this makes it more obvious
p(X=4)=1/3
p(X=5)=1/3
p(X=6)=1/3

p(Y=5)=1/2
p(Y=6)=1/2

The easiest way to do this is simply by reasoning it out.

Suppose X=5.
This means that after an unknown number of rolls of less than 4, the number 5 comes up.
What will Y be? Can Y still be 6?

What will Y be when X=6?

And then the tricky one.
Suppose X=4?
What values can Y take and how probable are those?

This should yield a crosstable where you can fill in all the chances...
 

Related to Probability of die thrown repeatedly

1. What is the definition of probability?

Probability is the measure of the likelihood that an event will occur. It is represented as a number between 0 and 1, with 0 indicating impossibility and 1 indicating certainty.

2. How is probability calculated for a die thrown repeatedly?

The probability of getting a specific outcome when throwing a die repeatedly is calculated by dividing the number of times that outcome occurs by the total number of outcomes. For example, if we throw a die 10 times and get a 3 three times, the probability of getting a 3 is 3/10, or 0.3.

3. What is the difference between experimental and theoretical probability?

Experimental probability is based on actual data collected from experiments or real-life events, while theoretical probability is based on mathematical calculations and assumes that all outcomes are equally likely.

4. How does the number of times a die is thrown affect the probability of getting a specific outcome?

The more times a die is thrown, the closer the experimental probability will be to the theoretical probability. This is because as the number of trials increases, the results tend to even out and reflect the true probability of each outcome.

5. Can the probability of getting a specific outcome when throwing a die repeatedly ever be 0?

No, the probability of an event occurring can never be 0 unless it is impossible for that event to occur. In the case of a die, all possible outcomes have a non-zero probability, so the probability of any specific outcome will always be greater than 0.

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