Probability of 6 in > 5 Die Tosses

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Homework Help Overview

The problem involves determining the probability of rolling a fair die until a 6 appears, specifically focusing on the scenario where it must be cast more than five times. The context is rooted in probability theory and distributions.

Discussion Character

  • Exploratory, Conceptual clarification, Mathematical reasoning

Approaches and Questions Raised

  • Participants discuss calculating the probability of not rolling a 6 in the first five tosses, with some suggesting the use of complementary events. Others explore the relationship between the problem and geometric distributions.

Discussion Status

The discussion is active, with participants sharing different interpretations and approaches. Some have offered insights into simplifying expressions and recognizing the underlying probability distribution, while others are questioning the complexity of certain calculations.

Contextual Notes

There are mentions of potential misunderstandings regarding the problem setup and the use of summation in the calculations. Participants also highlight the importance of correctly identifying dummy variables in mathematical expressions.

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Homework Statement


A fair die is cast until a 6 appears. What is the probability that it must be cast more than five times.

Homework Equations


The die is fair, hence like most of the problems I can assume equally likely outcomes.
[itex]P(A^c)=1-P(A)[/itex] for any event A

The Attempt at a Solution


Theoretically, a 6 may never come up. It should be better to calculate the complement of the event.
The complement, I think, is the event in at least 5 tosses, a 6 occurs. So a 6 may occur in the 1st toss or the 2nd toss or... or the 5th toss.

So I have [itex]\frac 16 + \frac 56 \cdot \frac 16 + ... + (\frac 56)^4 \cdot \frac 16[/itex]
Then factoring out [itex]\frac 16[/itex] and writing the probabilities as a summation, I have
[itex]\frac 16 \cdot \sum_{k=1}^5 (\frac 56)^{5-i}[/itex]

Is this correct? I don't have the answer. I suspect this can be derived from a probability distribution. If my suspicions are correct, which probability distribution?
 
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Mogarrr said:
A fair die is cast until a 6 appears. What is the probability that it must be cast more than five times.
Isn't this just the probability that none of the first five is a 6?
 
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Fredrik said:
Isn't this just the probability that none of the first five is a 6?

Right you are. In my originial post, I should have wrote [itex]1 - (\frac 16 \cdot \sum_{i=1}^5(\frac 56)^{5-i})[/itex].

Which is approximately 0.4.

What you suggested (and I agree with) is [itex]P(Event)= (\frac 56)^5[/itex]. Which is the same number.

This seems to much like a coincidence. Any thoughts?
 
I didn't really look at the LaTeX in your post. I just looked at the problem statement and immediately thought that the problem should be equivalent to finding the probability of five consecutive results in the 1-5 range. Then I read enough of your post to see that you appeared to be solving a more complicated problem. For a moment I thought that I must have misunderstood the problem, so I thought about it some more, but I couldn't find anything wrong with my first thought.

My interpretation of the problem is this: Suppose that we roll the die over and over until we get a six. Then we write down the sequence we got. Repeat this indefinitely. The problem is asking what fraction of the sequences we're writing down will not have a 6 among the first five numbers. If there's less than five numbers in the sequence, we can just pad it with more sixes so that we have a 5-digit sequence. The frequency of 5-digit initial sequences without sixes has to be equal to the probability that an arbitrary 5-digit sequence doesn't contain any sixes.
 
Your sum is the first few terms of a geometric series. It's not hard to find the sum as a fraction.
 
I just want to add that your summation is unnecessarily more complicated than it should be. Given
[tex]\frac 16 + \frac 56 \cdot \frac 16 + ... + (\frac 56)^4 \cdot \frac 16[/tex]

This summation expression that you gave
[tex]\frac 16\cdot \sum_{k=1}^5 (\frac 56)^{5-i}[/tex]
(by the way, you used k and i as your dummy variable accidentally)

is equivalent to
[tex]\frac 16\cdot \sum_{k=0}^4 (\frac 56)^{k}[/tex]

which I'm sure you would agree is easier to read.
 
Mogarrr said:
Right you are. In my originial post, I should have wrote [itex]1 - (\frac 16 \cdot \sum_{i=1}^5(\frac 56)^{5-i})[/itex].

Which is approximately 0.4.

What you suggested (and I agree with) is [itex]P(Event)= (\frac 56)^5[/itex]. Which is the same number.

This seems to much like a coincidence. Any thoughts?

There is no coincidence here; you are just computing the right-tail of the geometric distribution. Google is your friend. See, eg., http://www.math.uah.edu/stat/bernoulli/Geometric.html .
 
Last edited:
The probability you do NOT get a 6 on anyone throw is 5/6. What is the probability you will NOT get a 6 on any of 5 consecutive throws?
 

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