Probability - Poisson Random Variable

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Homework Help Overview

The problem involves calculating the probability of achieving a specific outcome when tossing two dice multiple times. The focus is on determining the probability of obtaining a sum of 12 over 36 trials, and how this can be approximated using a Poisson random variable.

Discussion Character

  • Exploratory, Conceptual clarification, Mathematical reasoning

Approaches and Questions Raised

  • The original poster attempts to calculate the probability of rolling a sum of 12 with two dice and expresses confusion about how to determine the probability of more than one success in 36 trials. Some participants suggest using the binomial distribution and its approximation with the Poisson distribution.

Discussion Status

The discussion includes attempts to clarify the use of the binomial distribution and its relationship to the Poisson approximation. Some participants have provided guidance on where to find relevant information, while others are exploring the calculations involved.

Contextual Notes

There is an emphasis on understanding the transition from the binomial to the Poisson distribution, and participants are working within the constraints of homework guidelines that may limit the level of direct assistance provided.

rooski
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Homework Statement



A trial consists of tossing two dice. The result is counted as successful if the sum of the
outcomes is 12. What is the probability that the number of successes in 36 such trials is
greater than one? What is this probability if we approximate its value using the Poisson
random variable?

The Attempt at a Solution



So first we must calculate the probability that the dice will add up to 12. The only possible way for this to happen is if they are both showing a 6.

So multiplying the chances of a 6 showing up per dice we get 1/6 * 1/6, or 1/36. There is a 1/36 chance of seeing 12.

This is where i get confused. How do we calculate the probability that 36 trials will give us more than 1 event where the dices read 12? I'm also confused about the Poisson Random Variable part.
 
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The binomial distribution gives you the probabilities you're seeking. Start there.

In some cases, the binomial distribution is well approximated by the Poisson distribution, with λ=np. The second part of the problem wants you to calculate the same probability you did before using this approximation.
 
So the number of trials, n, is 36 and the probability of success, p, is 1/36, right?
 
Yup.
 
Ok i figured out the first part of the question - the probability of the trials having more than 1 success I am 36 trials is 0.2642 using the binomial distribution function.

How do i apply the poisson variable to this?
 
Look up how to approximate the binomial distribution using the Poisson distribution in your textbook.
 

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