Suppose Xn is the sample mean of a random sample of size n from a distribution that has a Gamma(2, 1/2) (where a = 2, ß = }) pdf f(x) 4.xe-2ª, 0 < x < ∞, zero elsewhere. Use the Central Limit Theorem to deduce that the random variables n(Xn – 1) converges in distribution to | N (0, 1/2).

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Suppose Xn is the sample mean of a random sample of size n from a
distribution that has a Gamma(2,1/2) (where a =
2, B = }) pdf f(x) =
4xe-2a, 0 < x < ∞, zero elsewhere. Use the Central Limit Theorem to
deduce that the random variables Vn(Xn – 1) converges in distribution to
N(0, 1/2).
Transcribed Image Text:Suppose Xn is the sample mean of a random sample of size n from a distribution that has a Gamma(2,1/2) (where a = 2, B = }) pdf f(x) = 4xe-2a, 0 < x < ∞, zero elsewhere. Use the Central Limit Theorem to deduce that the random variables Vn(Xn – 1) converges in distribution to N(0, 1/2).
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