In a learning model, two responses (A and B) are possible for each of the series of observations. If there is a probability p of getting response A in any individual observation, the probability of getting response A exactly n times in a series of m observations is F(p) = pⁿ(1 − p)^{m − n}. The maximum likelihood estimate is the value of p that maximizes F( p) for 0 ≤ p ≤ 1. For what value of p does this occur?