Probability of losing if a 5 comes up (dice problem)

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In summary: If the game is that 'he rolls a single die until he gets a 5 and then he loses', the probability of losing is 1! You say, "we need the probability of losing and not a 5 turning up" but, according to what you say the only way to lose is to roll a 5.And, apparently, he is not allowed to stop rolling until he gets a five- there is no way to get a 5 except by losing!
  • #1
agnibho
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Homework Statement


A player goes on rolling one six sided normal die (unbiased) infinite times. But if he gets a 5 then he loses and stops rolling anymore. However until and unless he gets a 5, he continues to roll the die.What's the probability of losing??


Homework Equations


Look, I know that the probability of a 5 turning up is 1/6. But in an infinite number of rolls this can be huge (if the 5 doesn't turn up)!:smile: I mean, we need the probability of losing and not a 5 turning up. So maybe I'll get an infinite G.P.?? You lose when you get a 5. I am really messed up with this problem so, please would anyone help me?? I will be really pleased.
 
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  • #2
Not sure if it is the right way of reasoning on the problem, but I would say it's still 1/6.

I mean, if you consider the frequentist approach to probability, that 1/6 is not an inner part of the dice, but it's something that arises after a number of rolls n that tends to infinity. Hence, this should be the answer to your question.

Btw, I advice you to wait for more qualified posters. :smile:
 
  • #3
agnibho said:

Homework Statement


A player goes on rolling one six sided normal die (unbiased) infinite times. But if he gets a 5 then he loses and stops rolling anymore. However until and unless he gets a 5, he continues to roll the die.What's the probability of losing??


Homework Equations


Look, I know that the probability of a 5 turning up is 1/6. But in an infinite number of rolls this can be huge (if the 5 doesn't turn up)!:smile: I mean, we need the probability of losing and not a 5 turning up. So maybe I'll get an infinite G.P.?? You lose when you get a 5. I am really messed up with this problem so, please would anyone help me?? I will be really pleased.

What is the probability that the first toss is not 5? What is the probability that the second toss is not 5? In general, what is the probability that all of the first n tosses are not 5?

RGV
 
  • #4
If the game is that 'he rolls a single die until he gets a 5 and then he loses', the probability of losing is 1! You say, "we need the probability of losing and not a 5 turning up" but, according to what you say the only way to lose is to roll a 5.
And, apparently, he is not allowed to stop rolling until he gets a five- there is no way to get a 5 except by losing!

As far as the numbers are concerned, you say "I know that the probability of a 5 turning up is 1/6. But in an infinite number of rolls this can be huge". No, it is not. The only way he can not lose on a given roll is to roll anything other than a 5 and the probability of that is 5/6. The probability of rolling a string of 'not fives' n times is [itex](5/6)^n[/itex]. Multiplying a number less than 1 by itself repeatedly makes it smaller not larger. The limit, as n goes to infinity, of [itex](5/6)^n[/itex] is 0.
 
  • #5
HallsofIvy said:
If the game is that 'he rolls a single die until he gets a 5 and then he loses', the probability of losing is 1! You say, "we need the probability of losing and not a 5 turning up" but, according to what you say the only way to lose is to roll a 5.
And, apparently, he is not allowed to stop rolling until he gets a five- there is no way to get a 5 except by losing!

As far as the numbers are concerned, you say "I know that the probability of a 5 turning up is 1/6. But in an infinite number of rolls this can be huge". No, it is not. The only way he can not lose on a given roll is to roll anything other than a 5 and the probability of that is 5/6. The probability of rolling a string of 'not fives' n times is [itex](5/6)^n[/itex]. Multiplying a number less than 1 by itself repeatedly makes it smaller not larger. The limit, as n goes to infinity, of [itex](5/6)^n[/itex] is 0.

In my post I had asked the OP to (essentially) perform the computation you did here, guided by a short sequence of simple questions to answer. I had been hoping the OP would do that, but he/she did not respond with answers to my questions, so I don't know whether or not he/she ever got the point.

RGV
 

FAQ: Probability of losing if a 5 comes up (dice problem)

What is the probability of losing if a 5 comes up on a single dice roll?

The probability of losing if a 5 comes up on a single dice roll is 1/6 or approximately 16.67%. This is because there are six possible outcomes on a single dice roll and only one of those outcomes is a 5.

What is the probability of losing if two 5s come up on two dice rolls?

The probability of losing if two 5s come up on two dice rolls is 1/36 or approximately 2.78%. This is because the probability of rolling a 5 on a single dice roll is 1/6, and the probability of rolling two 5s in a row is (1/6)*(1/6) = 1/36.

Is the probability of losing if a 5 comes up affected by previous dice rolls?

No, the probability of losing if a 5 comes up on a single dice roll is not affected by previous dice rolls. Each dice roll is an independent event and the outcome of one roll does not affect the outcome of the next roll.

Can the probability of losing if a 5 comes up be calculated for multiple dice rolls?

Yes, the probability of losing if a 5 comes up can be calculated for multiple dice rolls. This is known as the probability of losing on a specific number of trials. For example, the probability of losing on three dice rolls if a 5 comes up each time would be (1/6)*(1/6)*(1/6) = 1/216 or approximately 0.46%.

How can the probability of losing if a 5 comes up be used in real-life situations?

The probability of losing if a 5 comes up can be used in various real-life situations, such as gambling or game design. It can also be used in statistical analysis to predict the likelihood of certain outcomes in a given scenario. Understanding probabilities can also help individuals make more informed decisions and manage risk effectively.

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