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A message is being sent in binary code. a ) [ 5 pts ] Consider a message of length 1 , i . e .

A message is being sent in binary code.
a)[5 pts] Consider a message of length 1, i.e. we send one bit, 0 or 1. Let us assume that 0 and 1 are equally likely but that there is a 3% chance of an error when we send 0 but a 7% chance of an error when we send 1. If the recipient gets a 1 what is the probability that the original message was 1? Same for 0?
b)[10 pts] To reduce errors one can send each bit repeatedly. Assume that we send each bit 3 times, so instead of a 0 we send 000 and instead of 1 we send 111. The recipient interprets the message as whatever the majority of the bits was (so e.g. if you receive 101 you assume that the message was 1). Assume the same error probabilities as in part a and that the bits are independent. If the recipient interprets the message to be a 1, i.e. the majority of the 3 received bits are 1, what is the probability that the original message was 1? What is the probability that the original message was 0 if the majority of received bits are 0?

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