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Q28Section A (Section A)28 of 35

Limit in probability of the mean of squared deviations of a shifted exponential

Let X1,X2,…X_1,X_2,… be i.i.d. random variables with common probability density function

f(x)={12e−(x−12),x>1, 0,otherwise.f(x)=\begin{cases}\frac12e^{-\left(\frac{x-1}2\right)}, & x>1,\ 0, & \text{otherwise.}\end{cases}

Define Yn=1n∑i=1n(Xi−1)2Y_n=\frac1n\sum_{i=1}^n(X_i-1)^2, n=1,2,…n=1,2,…. If lim⁡n→∞P(∣Yn−k∣>ε)=0\lim_{n\to\infty}P(|Y_n-k|>\varepsilon)=0, ∀ε>0\forall\varepsilon>0, then k=k=

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