Question #197660

Let X 1 , X 2 , ⋯,Xn be a random sample from a normal distribution with mean µ 

 and variance σ2. Consider e X as an estimator of e µ where X  is the sample  

µ mean. Show that e X is consistent estimator of e .




1
Expert's answer
2021-05-27T10:53:44-0400

Showing that X is a consistent ( unbiased ) estimator for u.

E(estimator)=E(1nX)E(estimator )= E(\frac{1}{n}\sum X)

=1nE(x)=\frac{1}{n}\sum E(x)

=1nu\frac{1}{n}\sum u

1nn.u\frac{1}{n} n.u

Therefore E(estimator)=uE( estimator )= u

For clarity on the missing information in the equations see the picture attached.

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