Entropy in communication refers to the amount of uncertainty. True False

explain and use the term entropy

Define Entropy

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)

True or False: Information gain is the reduction of entropy.Question 1Select one:TrueFalse

Information depletes the more it is used to resolve uncertainty. A. False B. True