I am reading tutorial on expectation maximization algorithm (http://ai.stanford.edu/~chuongdo/papers/em_tutorial.pdf), I am having trouble understanding second step, Can someone derive the expression?

I have already read( how does expectation maximization work? ) question, In second answer does P(H9T1) represents probability of getting 9 heads and 1 tail in unbiased coin?

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