Prove that the mean squared error of an estimator T is the sum of V ar(T ) and squared of Bias, i.e, MSE = V ar(T) + Bia

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answerhappygod
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Prove that the mean squared error of an estimator T is the sum of V ar(T ) and squared of Bias, i.e, MSE = V ar(T) + Bia

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Prove that the mean squared error of an estimator T is the sum
of V ar(T ) and squared of Bias, i.e, MSE = V ar(T) + Bias2.
Discuss the situation if T is unbiased.
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