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Suppose X1,...,XM is a set of M observations representing the Binomial probability model.
1) Write out the likelihood function.
2) Write out the log-likelihood function.
3) Find the score function by taking the partial derivative of the log-likelihood function.
4) Set the score function equal to zero and solve for the parameter p.
5) Take the second partial derivative of the score function.
6) Check to make sure this value is negative to ensure that the log-likelihood function is concave down.
7) What is the Maximum Likelihood estimator for a Binomial probability model
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