The binary entropy function describes the expected amount of

Last updated: 8/10/2022

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.