How Do You Calculate Conditional Probabilities in Dice and Coin Scenarios?

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Homework Help Overview

The discussion revolves around calculating conditional probabilities in scenarios involving flipping coins and rolling dice. The original poster presents two problems: the first involves determining the probability that the number of heads from flipping two coins equals the number shown on a rolled die, while the second concerns the conditional probability of a specific die showing a certain number given that at least three dice show that number.

Discussion Character

  • Exploratory, Conceptual clarification, Mathematical reasoning, Assumption checking

Approaches and Questions Raised

  • Participants explore the use of probability equations and the concept of independence between events. They discuss the intersection of events and how to compute probabilities for specific outcomes. Some participants suggest enumerating possible outcomes to clarify the problem.

Discussion Status

There is an ongoing exploration of the problems with various attempts to clarify the calculations involved. Participants are questioning their assumptions and reasoning, particularly regarding the intersection of events and the correct application of probability formulas. Some guidance has been offered, but no consensus has been reached on the solutions.

Contextual Notes

Participants express confusion over the definitions of events and the calculations required for conditional probabilities. There is mention of specific outcomes and probabilities that need to be clarified further, indicating that the discussion is still in a formative stage.

JP16
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Homework Statement



1) S'pose we flip 2 fair coins, and roll one fair 6 sided die. What is the probability that the number of heads equals the number showing on the die?

2) We roll 4 fair six sided dice. What is the conditional prob. that the first die shows 2, conditional on the event that at LEAST 3 dice show 2.

Homework Equations



P(A|B) = P(A and B)/ P(B)

The Attempt at a Solution



1) 0.25 / (1/3) = 3/4. Is this correct? I have my doubts. :|

EDIT: Now I think it is: (1/3) / 0.75 = 4/9

2) The first of the question asks, if "EXACTLY" 3 dice show 2, in which the answer is 3/4. But for at least 3 show 2, I don't get how to mathematically show it, using the above formula. Intuitively I understand that the prob. has to be greater than 3/4 in this case, just don't know how to show. Any help would be appreciated.
 
Last edited:
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JP16 said:

Homework Statement



1) S'pose we flip 2 fair coins, and roll one fair 6 sided die. What is the probability that the number of heads equals the number showing on the die?

2) We roll 4 fair six sided dice. What is the conditional prob. that the first die shows 2, conditional on the event that at LEAST 3 dice show 2.

Homework Equations



P(A|B) = P(A and B)/ P(B)


The Attempt at a Solution



1) 0.25 / (1/3) = 3/4. Is this correct? I have my doubts. :|

EDIT: Now I think it is: (1/3) / 0.75 = 4/9

2) The first of the question asks, if "EXACTLY" 3 dice show 2, in which the answer is 3/4. But for at least 3 show 2, I don't get how to mathematically show it, using the above formula. Intuitively I understand that the prob. has to be greater than 3/4 in this case, just don't know how to show. Any help would be appreciated.

For 1): don't just write down some numbers as a final answer; show how you obtained it. The same advice applies to 2).

RGV
 
Thank for the quick reply. For 1)

Denote by A, the # of heads.
by B the # on dice.

Then P(B|A) = P(B and A)/ P (A) - For P(A), for at least 1 heads the prob. is 3/4. For intersection, possible sample space is for dice to be either 1 or 2 (1/3). But I'm confused as to what is the intersection of A and B. I am thinking since A and B are independent (right?) P(A and B) = P(A)*P(B). Than the P(A)'s cancel just leaving P(B).

For 2) The part of EXACTLY 3 dice show 2. We know that 3 dice have to show 2 out of the 4, hence the prob. for the first die to be 2 has to equal 3/4. But than for at LEAST 3 dice show 2, I am confused as where to start.
 
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JP16 said:

Homework Statement



1) S'pose we flip 2 fair coins, and roll one fair 6 sided die. What is the probability that the number of heads equals the number showing on the die?

Did you try enumerating? There is a 1/4 probability that the two coins show NO heads but the die cannot show "0". There is a 1/2 probability that the two coins show one head and 1/6 probability that the die shows "1". There is a 1/4 probability that the two coins show two heads and 1/6 probability that the die shows "2".

2) We roll 4 fair six sided dice. What is the conditional prob. that the first die shows 2, conditional on the event that at LEAST 3 dice show 2.
Again, enumeration. The probability that all 4 dice show 2 is (1/6)^4. The probability of "at least 3" is \begin{bmatrix}4\end{bmatrix}(1/6)^3(5/6)+(1/6)^4.

Homework Equations



P(A|B) = P(A and B)/ P(B)

The Attempt at a Solution



1) 0.25 / (1/3) = 3/4. Is this correct? I have my doubts. :|

EDIT: Now I think it is: (1/3) / 0.75 = 4/9

2) The first of the question asks, if "EXACTLY" 3 dice show 2, in which the answer is 3/4. But for at least 3 show 2, I don't get how to mathematically show it, using the above formula. Intuitively I understand that the prob. has to be greater than 3/4 in this case, just don't know how to show. Any help would be appreciated.
 
JP16 said:
Thank for the quick reply. For 1)

Denote by A, the # of heads.
by B the # on dice.

Then P(B|A) = P(B and A)/ P (A) - For P(A), for at least 1 heads the prob. is 3/4. For intersection, possible sample space is for dice to be either 1 or 2 (1/3). But I'm confused as to what is the intersection of A and B. I am thinking since A and B are independent (right?) P(A and B) = P(A)*P(B). Than the P(A)'s cancel just leaving P(B).

For 2) The part of EXACTLY 3 dice show 2. We know that 3 dice have to show 2 out of the 4, hence the prob. for the first die to be 2 has to equal 3/4. But than for at LEAST 3 dice show 2, I am confused as where to start.

No. If A and B are as you have defined them, you are asked to find Pr{A = B}. The event {A=B} consists of number of disjoint outcomes. What are these outcomes? How would you compute the probabilities of the individual outcomes?

RGV
 
Ray Vickson said:
The event {A=B} consists of number of disjoint outcomes. What are these outcomes? How would you compute the probabilities of the individual outcomes?
RGV

As HallsofIvy said the possible outcomes, the set would contain {TH1,HT1, HH2}. Then the probability of that would just be,

2(\frac{2}{4}\frac{1}{6})+\frac{1}{4}\frac{1}{6} = \frac{5}{24}


Would this be correct?

HallsofIvy said:
Again, enumeration. The probability that all 4 dice show 2 is (1/6)^4. The probability of "at least 3" is \begin{bmatrix}4\end{bmatrix}(1/6)^3(5/6)+(1/6)^4.

OH, that makes sense. Then,

P(1st die 2 | least 3 dice show 2) =\frac{ P (1st \,die\, 2\,\cap\, least\, 3\, dice\, show \,2)}{P(least \,3 \,dice \,show \,2)}

P(1st die 2) = \frac{1}{6}(\frac{5}{6})^3

What would be the relationship(intersection) of A and B? What I think, at least 3 dice showing 2 intersected with the 1st die showing 2 is just the 1st die showing 2? This doesn't completely make sense to me. I have a exam tomorrow, and conditional probability is just being hard on me. So all the help is really appreciated. Thank you.

EDIT: By the way, the answer for #2 is given in the book. It says 16/21.
 
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JP16 said:
As HallsofIvy said the possible outcomes, the set would contain {TH1,HT1, HH2}. Then the probability of that would just be,

2(\frac{2}{4}\frac{1}{6})+\frac{1}{4}\frac{1}{6} = \frac{5}{24}


Would this be correct?



OH, that makes sense. Then,

P(1st die 2 | least 3 dice show 2) =\frac{ P (1st \,die\, 2\,\cap\, least\, 3\, dice\, show \,2)}{P(least \,3 \,dice \,show \,2)}

P(1st die 2) = \frac{1}{6}(\frac{5}{6})^3

What would be the relationship(intersection) of A and B? What I think, at least 3 dice showing 2 intersected with the 1st die showing 2 is just the 1st die showing 2? This doesn't completely make sense to me. I have a exam tomorrow, and conditional probability is just being hard on me. So all the help is really appreciated. Thank you.

EDIT: By the way, the answer for #2 is given in the book. It says 16/21.


For P{A=B} you write
2 \left( \frac{2}{4} \frac{1}{6} \right) + \frac{1}{4} \frac{1}{6}.
Where does the (2/4)*(1/6) come from? Where does the 2*(2/4)*(1/6) come from?

RGV
 
Ray Vickson said:
For P{A=B} you write
2 \left( \frac{2}{4} \frac{1}{6} \right) + \frac{1}{4} \frac{1}{6}.
Where does the (2/4)*(1/6) come from? Where does the 2*(2/4)*(1/6) come from?

RGV
Oh my bad, it should just be (2/4) * (1/6) + (1/4)*(1/6).
(2/4) : probability of having 2 heads in the total # of outcomes of flipping 2 coins.
(1/6) : probability of rolling a 1.

(1/4) : probability of both coins being heads.
(1/6) : probability of rolling a 2.

Am I making any progress? I feel like I am making it more difficult than it is.
 
JP16 said:
Oh my bad, it should just be (2/4) * (1/6) + (1/4)*(1/6).
(2/4) : probability of having 2 heads in the total # of outcomes of flipping 2 coins.
(1/6) : probability of rolling a 1.

(1/4) : probability of both coins being heads.
(1/6) : probability of rolling a 2.

Am I making any progress? I feel like I am making it more difficult than it is.

This is OK now. Don't despair: these things get easier with practice.

RGV
 
  • #10
Thanks for the fast responses and guiding me in the right direction. Any guidance for the other question?
 

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