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.