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Problem 2 Let x i P o i s s o n ( ) , iin 1 , dots, n with = 5 . Recall

Problem 2
Let xiPoisson(),iin1,dots,n with =5. Recall that the MLE hat() for a Poisson
distribution is equal to the sample mean x.
Part A)
The data being created into prob.2.a.data is 12 random samples from the Poisson(5)
distribution. Calculate the observed MLE, as well as the theoretical variance and bias for the
MLE. (Your variance and bias calculations will have nothing to do with the generated data.)
Store the your answers in mle,mle.var and mle.bias respectively.
set. seed (0)
lambda =5
n=12
prob.2.a.data , lambda)
prob.2.a.data
8,4,4,5,8,3,8,9,6,6,2,3
mle = NA mle.var =-1 mle. * bias = NA
# your code here
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