Recall the Expectation-Maximization (EM) algorithm provides a simple but powerful way to find a maximum likelihood estimator when the underlying likelihood function is complicated.

Perform the first iteration of E-step, find the value ofQ1(z(1)=A), i.e. the conditional probability that coinAis selected in Experiment 1, andQ2(z(2)=A), i.e. the conditional probability that coinAis selected in Experiment 2.

Q1(z(1) = A) =

Q2(z(2) = A) =