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Inferential Statisticshard
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For a sequence of estimators θ^n\hat{\theta}_nθ^n​ for a parameter θ\thetaθ, if the Mean Squared Error is MSE(θ^n)=1n2+0.5nMSE(\hat{\theta}_n) = \frac{1}{n^2} + \frac{0.5}{n}MSE(θ^n​)=n21​+n0.5​, which of the following is true?