Probability and condition











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I have a simple problem where I am getting 2 different results.



Its given that
$P(A) = 0.22, ;P(B) = 0.35,; P(A cup B) = 0.54$



Now using below method



$P(A) + P(B) - P(A cap B) = P(A cup B)$



$0.22 + 0.35 - P(A cap B) = 0.54$



$P(A cap B) = 0.03$





Now using a simple method



$P(A) cdot P(B) = P(A cap B)$



$P(A cap B) = 0.077$



Can someone explain where my understanding is incorrect?










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  • 3




    the second equality $P(A)P(B)=P(Acap B) $ holds iff $A$ and $B$ are independenly. You just showed thati this is not the case
    – ALG
    Nov 17 at 10:28










  • If e.g. $Asubseteq B$ then $P(Acap B)=P(A)=0.22$. As @ALG says: the equality $P(Acap B)=P(A)P(B)$ states that $A$ and $B$ are independent events, which is not always the case.
    – drhab
    Nov 17 at 10:32










  • @ALG can you please explain how do did you infer from above that 2 events are not independent.
    – LoveWithMaths
    Nov 17 at 12:10















up vote
1
down vote

favorite












I have a simple problem where I am getting 2 different results.



Its given that
$P(A) = 0.22, ;P(B) = 0.35,; P(A cup B) = 0.54$



Now using below method



$P(A) + P(B) - P(A cap B) = P(A cup B)$



$0.22 + 0.35 - P(A cap B) = 0.54$



$P(A cap B) = 0.03$





Now using a simple method



$P(A) cdot P(B) = P(A cap B)$



$P(A cap B) = 0.077$



Can someone explain where my understanding is incorrect?










share|cite|improve this question




















  • 3




    the second equality $P(A)P(B)=P(Acap B) $ holds iff $A$ and $B$ are independenly. You just showed thati this is not the case
    – ALG
    Nov 17 at 10:28










  • If e.g. $Asubseteq B$ then $P(Acap B)=P(A)=0.22$. As @ALG says: the equality $P(Acap B)=P(A)P(B)$ states that $A$ and $B$ are independent events, which is not always the case.
    – drhab
    Nov 17 at 10:32










  • @ALG can you please explain how do did you infer from above that 2 events are not independent.
    – LoveWithMaths
    Nov 17 at 12:10













up vote
1
down vote

favorite









up vote
1
down vote

favorite











I have a simple problem where I am getting 2 different results.



Its given that
$P(A) = 0.22, ;P(B) = 0.35,; P(A cup B) = 0.54$



Now using below method



$P(A) + P(B) - P(A cap B) = P(A cup B)$



$0.22 + 0.35 - P(A cap B) = 0.54$



$P(A cap B) = 0.03$





Now using a simple method



$P(A) cdot P(B) = P(A cap B)$



$P(A cap B) = 0.077$



Can someone explain where my understanding is incorrect?










share|cite|improve this question















I have a simple problem where I am getting 2 different results.



Its given that
$P(A) = 0.22, ;P(B) = 0.35,; P(A cup B) = 0.54$



Now using below method



$P(A) + P(B) - P(A cap B) = P(A cup B)$



$0.22 + 0.35 - P(A cap B) = 0.54$



$P(A cap B) = 0.03$





Now using a simple method



$P(A) cdot P(B) = P(A cap B)$



$P(A cap B) = 0.077$



Can someone explain where my understanding is incorrect?







probability






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edited Nov 17 at 13:22









amWhy

191k27223437




191k27223437










asked Nov 17 at 10:23









LoveWithMaths

267




267








  • 3




    the second equality $P(A)P(B)=P(Acap B) $ holds iff $A$ and $B$ are independenly. You just showed thati this is not the case
    – ALG
    Nov 17 at 10:28










  • If e.g. $Asubseteq B$ then $P(Acap B)=P(A)=0.22$. As @ALG says: the equality $P(Acap B)=P(A)P(B)$ states that $A$ and $B$ are independent events, which is not always the case.
    – drhab
    Nov 17 at 10:32










  • @ALG can you please explain how do did you infer from above that 2 events are not independent.
    – LoveWithMaths
    Nov 17 at 12:10














  • 3




    the second equality $P(A)P(B)=P(Acap B) $ holds iff $A$ and $B$ are independenly. You just showed thati this is not the case
    – ALG
    Nov 17 at 10:28










  • If e.g. $Asubseteq B$ then $P(Acap B)=P(A)=0.22$. As @ALG says: the equality $P(Acap B)=P(A)P(B)$ states that $A$ and $B$ are independent events, which is not always the case.
    – drhab
    Nov 17 at 10:32










  • @ALG can you please explain how do did you infer from above that 2 events are not independent.
    – LoveWithMaths
    Nov 17 at 12:10








3




3




the second equality $P(A)P(B)=P(Acap B) $ holds iff $A$ and $B$ are independenly. You just showed thati this is not the case
– ALG
Nov 17 at 10:28




the second equality $P(A)P(B)=P(Acap B) $ holds iff $A$ and $B$ are independenly. You just showed thati this is not the case
– ALG
Nov 17 at 10:28












If e.g. $Asubseteq B$ then $P(Acap B)=P(A)=0.22$. As @ALG says: the equality $P(Acap B)=P(A)P(B)$ states that $A$ and $B$ are independent events, which is not always the case.
– drhab
Nov 17 at 10:32




If e.g. $Asubseteq B$ then $P(Acap B)=P(A)=0.22$. As @ALG says: the equality $P(Acap B)=P(A)P(B)$ states that $A$ and $B$ are independent events, which is not always the case.
– drhab
Nov 17 at 10:32












@ALG can you please explain how do did you infer from above that 2 events are not independent.
– LoveWithMaths
Nov 17 at 12:10




@ALG can you please explain how do did you infer from above that 2 events are not independent.
– LoveWithMaths
Nov 17 at 12:10










1 Answer
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1
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The "simple method" is clearly incorrect, as the independence of $A$ and $B$, an assumption the method makes, has not been established beforehand. Therefore it cannot be applied at all, and the Venn diagram approach has to be employed instead.



By deriving $P(Acap B)$ through this correct approach, we do show that $A$ and $B$ are not independent, but that is beyond the scope of the question.






share|cite|improve this answer























  • Its not clear how the probabilities given shows that they are not independent event. Can you please explain ? how its intuitive to you ?
    – LoveWithMaths
    Nov 17 at 11:54










  • can you please elaborate as i do not understand.
    – LoveWithMaths
    Nov 17 at 13:03











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active

oldest

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up vote
1
down vote













The "simple method" is clearly incorrect, as the independence of $A$ and $B$, an assumption the method makes, has not been established beforehand. Therefore it cannot be applied at all, and the Venn diagram approach has to be employed instead.



By deriving $P(Acap B)$ through this correct approach, we do show that $A$ and $B$ are not independent, but that is beyond the scope of the question.






share|cite|improve this answer























  • Its not clear how the probabilities given shows that they are not independent event. Can you please explain ? how its intuitive to you ?
    – LoveWithMaths
    Nov 17 at 11:54










  • can you please elaborate as i do not understand.
    – LoveWithMaths
    Nov 17 at 13:03















up vote
1
down vote













The "simple method" is clearly incorrect, as the independence of $A$ and $B$, an assumption the method makes, has not been established beforehand. Therefore it cannot be applied at all, and the Venn diagram approach has to be employed instead.



By deriving $P(Acap B)$ through this correct approach, we do show that $A$ and $B$ are not independent, but that is beyond the scope of the question.






share|cite|improve this answer























  • Its not clear how the probabilities given shows that they are not independent event. Can you please explain ? how its intuitive to you ?
    – LoveWithMaths
    Nov 17 at 11:54










  • can you please elaborate as i do not understand.
    – LoveWithMaths
    Nov 17 at 13:03













up vote
1
down vote










up vote
1
down vote









The "simple method" is clearly incorrect, as the independence of $A$ and $B$, an assumption the method makes, has not been established beforehand. Therefore it cannot be applied at all, and the Venn diagram approach has to be employed instead.



By deriving $P(Acap B)$ through this correct approach, we do show that $A$ and $B$ are not independent, but that is beyond the scope of the question.






share|cite|improve this answer














The "simple method" is clearly incorrect, as the independence of $A$ and $B$, an assumption the method makes, has not been established beforehand. Therefore it cannot be applied at all, and the Venn diagram approach has to be employed instead.



By deriving $P(Acap B)$ through this correct approach, we do show that $A$ and $B$ are not independent, but that is beyond the scope of the question.







share|cite|improve this answer














share|cite|improve this answer



share|cite|improve this answer








edited Nov 17 at 13:09

























answered Nov 17 at 10:30









Parcly Taxel

41k137199




41k137199












  • Its not clear how the probabilities given shows that they are not independent event. Can you please explain ? how its intuitive to you ?
    – LoveWithMaths
    Nov 17 at 11:54










  • can you please elaborate as i do not understand.
    – LoveWithMaths
    Nov 17 at 13:03


















  • Its not clear how the probabilities given shows that they are not independent event. Can you please explain ? how its intuitive to you ?
    – LoveWithMaths
    Nov 17 at 11:54










  • can you please elaborate as i do not understand.
    – LoveWithMaths
    Nov 17 at 13:03
















Its not clear how the probabilities given shows that they are not independent event. Can you please explain ? how its intuitive to you ?
– LoveWithMaths
Nov 17 at 11:54




Its not clear how the probabilities given shows that they are not independent event. Can you please explain ? how its intuitive to you ?
– LoveWithMaths
Nov 17 at 11:54












can you please elaborate as i do not understand.
– LoveWithMaths
Nov 17 at 13:03




can you please elaborate as i do not understand.
– LoveWithMaths
Nov 17 at 13:03


















 

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