1. A transmitted message bit B is either 1 or 0, each with equal likelihood.
The bit is captured by N independent receivers; each receiver has a
probability p of receiving the wrong bit value (e.g. receiving a 1 when
a 0 was sent).
Write the conditional probability that the message bit is 1, if all N
receivers receive a 1. Write your answer as a function of p.
Here we are given that:
P(original 0) = P( original 1 ) = 0.5
Also, we are given that:
P( 1 received | original 0 ) = p and P( 1 received | original 1 ) = 1 - p
Therefore using law of total probability, for each receiver we have:
P( 1 received ) = P( 1 received | original 0 )P(original 0) + P( 1 received | original 1 ) P( original 1 )
P( 1 received ) = 0.5p + 0.5(1 - p) = 0.5
Now for N such receivers
P( 1 received by all | original 1 ) = (1-p)N and P( 1 received by all | original 0 ) = pN
Using law of total probability again, we get here:
P( 1 received by all ) = 0.5( 1- p )N + 0.5 pN
Therefore now using bayes theorem, we get here:
This is the required expression for the required probability.
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