Error correcting codes rely on the assumption that transmitted bits are more likely to arrive without error than with error(s). Under what circumstances might it be more likely for a received word to have errors than to be error-free?Question 1AnswerThis will not happen because the binomial distribution always peaks at 0It can occur with a high enough p(bit error), but such a communication channel would be unusableA short word and high p(error)A long word and high p(bit error)

A message comprises a set of symbols which are to be mapped onto binary code words for transmission. The code word set is {000000, 000111, 010010, 100001, 110011, 111000}. How many bit errors in a code word can be reliably detected? (Type a number only - no units.)

In a communication system each data packet consists of 10001000 bits. Due to the noise, each bit may be received in error with probability 0.10.1. It is assumed bit errors occur independently. Find the probability that there are more than 120120 errors in a certain data packet.

Suppose we receive a series of 8-bit words representing some symbols or event outcomes, and we notice that, on average, about 70% of the received bits are “1”, and only 30% are “0”. What, if anything, does that tell us from an information theoretic point of view? Question 2Select one: Nothing. We would need to know the probability of received words before we could calculate the entropy. Since 1 and 0 are not equi-probable, we know that we could send the sequence of symbols with fewer bits using a suitable code word assignment method. Plugging the probabilities into the information theory equations would give us the optimum encoding method we should use. (JUST choose the right option)

The communication skill that typically addresses knowing when to give error identification and error correction information isGroup of answer choicescredibilityconsistent communicationpositive communicationsending messages high in information

Question 3The risk of decoding a message incorrectly is particularly high if… 1 pointsender and receiver engage in a dialog to jointly build shared meaning.the communication channel is introducing a lot of noise.sender and receiver share a common field of experience.