Conditional probability - formula validity over different sample spaces











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Is the conditional probability formula $P(Bmid A) =frac{ P(Bcap A) }{ P(A)}$ always true? What if the sample space is non-uniform?










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    $P(B | A) =frac{P(B cap A)}{P(A)}$ is a definition, not a formula. You don't see $P(B | A)$ being defined as something else, and then that being proved equal to $frac{P(B cap A) }{P(A)}$. In particular, being a definition it very much holds in non-uniform situations, but is defined only when $P(A)$ is non-zero.
    – астон вілла олоф мэллбэрг
    Nov 13 at 10:38















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favorite












Is the conditional probability formula $P(Bmid A) =frac{ P(Bcap A) }{ P(A)}$ always true? What if the sample space is non-uniform?










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  • 1




    $P(B | A) =frac{P(B cap A)}{P(A)}$ is a definition, not a formula. You don't see $P(B | A)$ being defined as something else, and then that being proved equal to $frac{P(B cap A) }{P(A)}$. In particular, being a definition it very much holds in non-uniform situations, but is defined only when $P(A)$ is non-zero.
    – астон вілла олоф мэллбэрг
    Nov 13 at 10:38













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Is the conditional probability formula $P(Bmid A) =frac{ P(Bcap A) }{ P(A)}$ always true? What if the sample space is non-uniform?










share|cite|improve this question









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Is the conditional probability formula $P(Bmid A) =frac{ P(Bcap A) }{ P(A)}$ always true? What if the sample space is non-uniform?







probability conditional-probability






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edited Nov 13 at 11:00









amWhy

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asked Nov 13 at 10:34









Akash Chandwani

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  • 1




    $P(B | A) =frac{P(B cap A)}{P(A)}$ is a definition, not a formula. You don't see $P(B | A)$ being defined as something else, and then that being proved equal to $frac{P(B cap A) }{P(A)}$. In particular, being a definition it very much holds in non-uniform situations, but is defined only when $P(A)$ is non-zero.
    – астон вілла олоф мэллбэрг
    Nov 13 at 10:38














  • 1




    $P(B | A) =frac{P(B cap A)}{P(A)}$ is a definition, not a formula. You don't see $P(B | A)$ being defined as something else, and then that being proved equal to $frac{P(B cap A) }{P(A)}$. In particular, being a definition it very much holds in non-uniform situations, but is defined only when $P(A)$ is non-zero.
    – астон вілла олоф мэллбэрг
    Nov 13 at 10:38








1




1




$P(B | A) =frac{P(B cap A)}{P(A)}$ is a definition, not a formula. You don't see $P(B | A)$ being defined as something else, and then that being proved equal to $frac{P(B cap A) }{P(A)}$. In particular, being a definition it very much holds in non-uniform situations, but is defined only when $P(A)$ is non-zero.
– астон вілла олоф мэллбэрг
Nov 13 at 10:38




$P(B | A) =frac{P(B cap A)}{P(A)}$ is a definition, not a formula. You don't see $P(B | A)$ being defined as something else, and then that being proved equal to $frac{P(B cap A) }{P(A)}$. In particular, being a definition it very much holds in non-uniform situations, but is defined only when $P(A)$ is non-zero.
– астон вілла олоф мэллбэрг
Nov 13 at 10:38










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Yes, this is always true because the conditional probability of B given A is defined this way. Although, it exists only if $P(A)neq0$(that is quite obvious because if A can't occur, then it doesn't make sense to find the probability of an event given that A has already occurred).






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    Yes, this is always true because the conditional probability of B given A is defined this way. Although, it exists only if $P(A)neq0$(that is quite obvious because if A can't occur, then it doesn't make sense to find the probability of an event given that A has already occurred).






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      up vote
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      down vote



      accepted










      Yes, this is always true because the conditional probability of B given A is defined this way. Although, it exists only if $P(A)neq0$(that is quite obvious because if A can't occur, then it doesn't make sense to find the probability of an event given that A has already occurred).






      share|cite|improve this answer























        up vote
        1
        down vote



        accepted







        up vote
        1
        down vote



        accepted






        Yes, this is always true because the conditional probability of B given A is defined this way. Although, it exists only if $P(A)neq0$(that is quite obvious because if A can't occur, then it doesn't make sense to find the probability of an event given that A has already occurred).






        share|cite|improve this answer












        Yes, this is always true because the conditional probability of B given A is defined this way. Although, it exists only if $P(A)neq0$(that is quite obvious because if A can't occur, then it doesn't make sense to find the probability of an event given that A has already occurred).







        share|cite|improve this answer












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        share|cite|improve this answer










        answered Nov 13 at 11:04









        Crazy for maths

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