Inferential Statisticshard
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Consider a sequence of estimators θ^n\hat{\theta}_n such that their Mean Squared Error is given by MSE(θ^n)=1n2+5nMSE(\hat{\theta}_n) = \frac{1}{n^2} + \frac{5}{n}. What does this expression imply about the estimator as nn \to \infty?