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         P(A=1,C=1) = P(A=1) . P(C=1) = p.P(A=1,B=0) = p^2.(1-p) (1)
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         P(A=1,C=1) = P(A=1) . P(C=1) = p.{P(A=1,B=0)+P(A=0,B=1)} = 2.p^2.(1-p) (1)
 
 
         P(A=1,B=0) = P(A=1) . P(B=0) = p.(1-p) (2)
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         P(A=1,B=0) = P(A=1) . P(B=0) = p.(1-p)                 (2)
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 +
Since, (1) & (2) are not equal to each other, A & C are not independent of each other when bits are biased.
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 +
 
 +
                            "OR"       
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        P(A=0,C=0) = P(A=0) . P(C=0) = (1-p).{P(A=1,B=1)+P(A=0,B=0)} = (p^2 + (1-p)^2).(1-p) (3)
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        P(A=0,B=0) = P(A=1) . P(B=0) = (1-p).(1-p)                 (4)
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 +
Again, since (3) & (4) are not equal to each other, A & C are not independent of each other when bits are biased.
  
Since, (1) & (2) are not equal to each other, A & C are not
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        Hence, it is proved.
independent of each other when bits are biased.
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Latest revision as of 14:42, 16 September 2008



       A		B		


       P(A=1) = p	P(B=1) = p
       P(A=0) = 1-p	P(B=0) = 1-p			


       P(A=1,C=1) = P(A=1) . P(C=1) = p.{P(A=1,B=0)+P(A=0,B=1)} = 2.p^2.(1-p)		(1)
       P(A=1,B=0) = P(A=1) . P(B=0) = p.(1-p)		                 		(2)
       

Since, (1) & (2) are not equal to each other, A & C are not independent of each other when bits are biased.


                            "OR"        
       P(A=0,C=0) = P(A=0) . P(C=0) = (1-p).{P(A=1,B=1)+P(A=0,B=0)} = (p^2 + (1-p)^2).(1-p)	(3)
       P(A=0,B=0) = P(A=1) . P(B=0) = (1-p).(1-p)		                 		(4)
         

Again, since (3) & (4) are not equal to each other, A & C are not independent of each other when bits are biased.

       Hence, it is proved.

Alumni Liaison

Ph.D. 2007, working on developing cool imaging technologies for digital cameras, camera phones, and video surveillance cameras.

Buyue Zhang