How do I find (E|F')? Announcing the arrival of Valued Associate #679: Cesar Manara Planned maintenance scheduled April 17/18, 2019 at 00:00UTC (8:00pm US/Eastern)Having trouble applying Bayes Theorem to problemWhen to use Total Probability Rule and Bayes' Theorem.Find Probabilty of ~FeverBayes' theorem and total probability problem.Two regular dice are rolled. Given that one of them is a $6$, what is the probability that the other is also a $6$?Bayes Theorem to find nth timeUse of Bayes' Theorem to find false positive rateHow to start with Bayes theoremHow do determine the probability of an event occurring given that two other events occurredHow can I determine the probability that I selected a particular random generator based on an output string?
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How do I find (E|F')?
Announcing the arrival of Valued Associate #679: Cesar Manara
Planned maintenance scheduled April 17/18, 2019 at 00:00UTC (8:00pm US/Eastern)Having trouble applying Bayes Theorem to problemWhen to use Total Probability Rule and Bayes' Theorem.Find Probabilty of ~FeverBayes' theorem and total probability problem.Two regular dice are rolled. Given that one of them is a $6$, what is the probability that the other is also a $6$?Bayes Theorem to find nth timeUse of Bayes' Theorem to find false positive rateHow to start with Bayes theoremHow do determine the probability of an event occurring given that two other events occurredHow can I determine the probability that I selected a particular random generator based on an output string?
$begingroup$
Assume ' is equal to not or complement here.
Alright, you are given the following information:
p(E)= 1/3
p(F)=1/2
p(E|F)=2/5
You are asked to find p(F|E)
.
Bayes theorem is:
p(F|E)=p(E|F)p(F) divided by P(E|F)p(F)+p(E|F')p(F')
I know that p(E|F')= 1-p(E'|F')
How do I find p(E|F')?
I know F'=F here.
probability bayes-theorem
$endgroup$
add a comment |
$begingroup$
Assume ' is equal to not or complement here.
Alright, you are given the following information:
p(E)= 1/3
p(F)=1/2
p(E|F)=2/5
You are asked to find p(F|E)
.
Bayes theorem is:
p(F|E)=p(E|F)p(F) divided by P(E|F)p(F)+p(E|F')p(F')
I know that p(E|F')= 1-p(E'|F')
How do I find p(E|F')?
I know F'=F here.
probability bayes-theorem
$endgroup$
add a comment |
$begingroup$
Assume ' is equal to not or complement here.
Alright, you are given the following information:
p(E)= 1/3
p(F)=1/2
p(E|F)=2/5
You are asked to find p(F|E)
.
Bayes theorem is:
p(F|E)=p(E|F)p(F) divided by P(E|F)p(F)+p(E|F')p(F')
I know that p(E|F')= 1-p(E'|F')
How do I find p(E|F')?
I know F'=F here.
probability bayes-theorem
$endgroup$
Assume ' is equal to not or complement here.
Alright, you are given the following information:
p(E)= 1/3
p(F)=1/2
p(E|F)=2/5
You are asked to find p(F|E)
.
Bayes theorem is:
p(F|E)=p(E|F)p(F) divided by P(E|F)p(F)+p(E|F')p(F')
I know that p(E|F')= 1-p(E'|F')
How do I find p(E|F')?
I know F'=F here.
probability bayes-theorem
probability bayes-theorem
asked Dec 15 '14 at 4:21
munchschairmunchschair
17610
17610
add a comment |
add a comment |
2 Answers
2
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$begingroup$
$P(Fmid E) = dfracP(Emid F)cdot P(F)P(E) = dfracdfrac25cdot dfrac12dfrac13 = dfrac35$
$endgroup$
add a comment |
$begingroup$
Finding $Pr(E|F')$, as shown by the answer of ah-huh-moment, not necessary in order to find $Pr(F|E)$. That is the best possible answer to your question. But we show how to compute $Pr(E|F')$ anyway, in case we need it for something else.
Note that $Pr(Ecap F)=Pr(E|F)Pr(F)=frac15$.
But $Pr(E)=Pr(Ecap F)+Pr(Ecap F')$. Thus $Pr(Ecap F')=frac13-frac15=frac215$.
Thus $Pr(E|F')=fracPr(Ecap F')Pr(F')=frac2/151/2$.
Remark: In my experience, students do better with elementary conditional probability problems if they stick to the basic definition $Pr(A|B)=fracPr(Acap B)Pr(B)$ than if they attempt to use Bayes' Formula.
$endgroup$
add a comment |
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2 Answers
2
active
oldest
votes
2 Answers
2
active
oldest
votes
active
oldest
votes
active
oldest
votes
$begingroup$
$P(Fmid E) = dfracP(Emid F)cdot P(F)P(E) = dfracdfrac25cdot dfrac12dfrac13 = dfrac35$
$endgroup$
add a comment |
$begingroup$
$P(Fmid E) = dfracP(Emid F)cdot P(F)P(E) = dfracdfrac25cdot dfrac12dfrac13 = dfrac35$
$endgroup$
add a comment |
$begingroup$
$P(Fmid E) = dfracP(Emid F)cdot P(F)P(E) = dfracdfrac25cdot dfrac12dfrac13 = dfrac35$
$endgroup$
$P(Fmid E) = dfracP(Emid F)cdot P(F)P(E) = dfracdfrac25cdot dfrac12dfrac13 = dfrac35$
answered Dec 15 '14 at 4:26
DeepSeaDeepSea
71.4k54488
71.4k54488
add a comment |
add a comment |
$begingroup$
Finding $Pr(E|F')$, as shown by the answer of ah-huh-moment, not necessary in order to find $Pr(F|E)$. That is the best possible answer to your question. But we show how to compute $Pr(E|F')$ anyway, in case we need it for something else.
Note that $Pr(Ecap F)=Pr(E|F)Pr(F)=frac15$.
But $Pr(E)=Pr(Ecap F)+Pr(Ecap F')$. Thus $Pr(Ecap F')=frac13-frac15=frac215$.
Thus $Pr(E|F')=fracPr(Ecap F')Pr(F')=frac2/151/2$.
Remark: In my experience, students do better with elementary conditional probability problems if they stick to the basic definition $Pr(A|B)=fracPr(Acap B)Pr(B)$ than if they attempt to use Bayes' Formula.
$endgroup$
add a comment |
$begingroup$
Finding $Pr(E|F')$, as shown by the answer of ah-huh-moment, not necessary in order to find $Pr(F|E)$. That is the best possible answer to your question. But we show how to compute $Pr(E|F')$ anyway, in case we need it for something else.
Note that $Pr(Ecap F)=Pr(E|F)Pr(F)=frac15$.
But $Pr(E)=Pr(Ecap F)+Pr(Ecap F')$. Thus $Pr(Ecap F')=frac13-frac15=frac215$.
Thus $Pr(E|F')=fracPr(Ecap F')Pr(F')=frac2/151/2$.
Remark: In my experience, students do better with elementary conditional probability problems if they stick to the basic definition $Pr(A|B)=fracPr(Acap B)Pr(B)$ than if they attempt to use Bayes' Formula.
$endgroup$
add a comment |
$begingroup$
Finding $Pr(E|F')$, as shown by the answer of ah-huh-moment, not necessary in order to find $Pr(F|E)$. That is the best possible answer to your question. But we show how to compute $Pr(E|F')$ anyway, in case we need it for something else.
Note that $Pr(Ecap F)=Pr(E|F)Pr(F)=frac15$.
But $Pr(E)=Pr(Ecap F)+Pr(Ecap F')$. Thus $Pr(Ecap F')=frac13-frac15=frac215$.
Thus $Pr(E|F')=fracPr(Ecap F')Pr(F')=frac2/151/2$.
Remark: In my experience, students do better with elementary conditional probability problems if they stick to the basic definition $Pr(A|B)=fracPr(Acap B)Pr(B)$ than if they attempt to use Bayes' Formula.
$endgroup$
Finding $Pr(E|F')$, as shown by the answer of ah-huh-moment, not necessary in order to find $Pr(F|E)$. That is the best possible answer to your question. But we show how to compute $Pr(E|F')$ anyway, in case we need it for something else.
Note that $Pr(Ecap F)=Pr(E|F)Pr(F)=frac15$.
But $Pr(E)=Pr(Ecap F)+Pr(Ecap F')$. Thus $Pr(Ecap F')=frac13-frac15=frac215$.
Thus $Pr(E|F')=fracPr(Ecap F')Pr(F')=frac2/151/2$.
Remark: In my experience, students do better with elementary conditional probability problems if they stick to the basic definition $Pr(A|B)=fracPr(Acap B)Pr(B)$ than if they attempt to use Bayes' Formula.
answered Dec 15 '14 at 5:26
André NicolasAndré Nicolas
455k36432822
455k36432822
add a comment |
add a comment |
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