For n independent observations from a Poisson distribution, show that Fisher scoring gives (t + 1)

For n independent observations from a Poisson distribution, show that Fisher scoring gives µ^{(t + 1)} = y̅ for all t > 0. By contrast, what happens with Newton—Raphson?