Question: The binary entropy function describes the expected amount of information provided by each flip of a coin when the probability of the heads face

The binary entropy function describes the expected amount of information provided by

The binary entropy function describes the expected amount of information provided by each flip of a coin when the probability of the "heads" face showing is p. It is given by H(p)=-plog2 (p) - (1 - p) log2 (1 - p). Compute the value of H(0.1), and round your answer to four decimal places.

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