32. It may be shown that if Tn is any sequence of random variables such that TnT and if the variances of T and Tn exist, then lim inf, Var(T) ≥ Var(T). Let Tn = X1[|X| ≤ 1 − n¯¹] + n1[|X| > 1 − n¯¹] where X is uniform, U(-1, 1). Show that as n → ∞, Tn ✩ X, but Var(T) → ∞.

Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter10: Sequences, Series, And Probability
Section10.8: Probability
Problem 32E
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32. It may be shown that if Tn is any sequence of random variables such that TT and
if the variances of T and T exist, then lim infn Var(Tn) ≥ Var(T). Let
Tn = X1[|X| ≤ 1 − n¯¹] +n1[|X| > 1 − n¯¹]
where X is uniform, U(−1,1). Show that as n → ∞, Tn ✩ X, but Var(T) → ∞.
Transcribed Image Text:32. It may be shown that if Tn is any sequence of random variables such that TT and if the variances of T and T exist, then lim infn Var(Tn) ≥ Var(T). Let Tn = X1[|X| ≤ 1 − n¯¹] +n1[|X| > 1 − n¯¹] where X is uniform, U(−1,1). Show that as n → ∞, Tn ✩ X, but Var(T) → ∞.
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