Matlab code to solve maximum likelihood problem.

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Can someone help me solve the following problem ?

There are 25 columns in a given dataset each having 10000 points of the form - x(n) = A + w(n) where w(n) ~ N(0,A) AWGN.

1. Estimate A' using maximum likelihood estimation.
2. Using Monte carlo simulations find E(A') and var (A').
3. Plot (E(A')-A)^2 and var(A') as function of N.
4. Find pdf of A'. Plot for N= 5,10,20. Take any of N columns.

I tried to use the phat = mle(data,'distribution',type) function but it did not give the correct results.

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