A fair #6#-sided die is rolled up to #3# times as described below to give a score. If the score is #5# then what is the probability that it was obtained in #2# rolls?
The die is rolled once.
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If the first roll is #3, 4, 5, 6# then that is the final score.
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If the first roll is #2# , then the die is rolled again and #2# added to give the final score.
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If the first roll is #1# , then the die is rolled twice more, with the final score being the sum of all three rolls.
The die is rolled once.
-
If the first roll is
#3, 4, 5, 6# then that is the final score. -
If the first roll is
#2# , then the die is rolled again and#2# added to give the final score. -
If the first roll is
#1# , then the die is rolled twice more, with the final score being the sum of all three rolls.
What a sweet inquiry!
To start, we really only need to take into account three possible outcomes.
It is required that a 2 be rolled on the first roll and a 3 on the second.
This is the likelihood of receiving a 5 from two rolls. On the other hand, after giving it some thought, it appears that the question is more complex, as it asks, "IF a player receives a 5, what is the probability that it was from two rolls of the dice?" This isn't quite the same as the first part.
The player reportedly received a 5!, but how did he receive that score?
What is the number of ways to receive a 5?
Only the following methods are available for obtaining a 5 from the third outcome:
Utilize identical denominators:
Taking into account that out of 216 rolls, there exist 45 ways to obtain a 5, with only 6 arising from a mere 2 rolls.
Probability that two rolls will result in a score of five:
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A different approach 2 of 2
Solved by counting
Remember that the 'given' part of a 'conditional probability' defines the sample space.
Using option 1 out of 2, we have
"Use any common denominator to determine the value of this variable."
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A different approach 1 of 2
A sketch usually helps visualise what is happening:
Key points; Final score is 5
Thus the probability of any 5 occurring is Let the probability of the 5 from path B be So we have probability event This is written But '~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ The 5 at the end of path B is shared ( a subset) between path B and the set of all the 5's. In my calculations this is written as As it is shared it has the 'and' condition. Probability
2 roles of the die to reach a score
Thus the probability of 5 from path B is
This is conditional probability in that it is categorically stated that the event:
What is the likelihood the
Let the probability of any 5 from all of them be
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This alternative perspective on the issue, in my opinion, helps to eliminate any uncertainty regarding conditional probabilities, etc.
Let's say we alter the game's rules without altering the likelihood of the results:
The impartial six-sided die is rolled precisely three times under the new regulations.
The odds of obtaining a given score are precisely the same as they would be if the die were not rolled again.
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The probability of obtaining a score of 5 in 2 rolls of a fair 6-sided die is ( \frac{1}{6} \times \frac{5}{6} = \frac{5}{36} ).
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When evaluating a one-sided limit, you need to be careful when a quantity is approaching zero since its sign is different depending on which way it is approaching zero from. Let us look at some examples.
When evaluating a one-sided limit, you need to be careful when a quantity is approaching zero since its sign is different depending on which way it is approaching zero from. Let us look at some examples.
When evaluating a one-sided limit, you need to be careful when a quantity is approaching zero since its sign is different depending on which way it is approaching zero from. Let us look at some examples.
When evaluating a one-sided limit, you need to be careful when a quantity is approaching zero since its sign is different depending on which way it is approaching zero from. Let us look at some examples.
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