Problem 1. True/False Questions: Circle T for true and F for false.
T F If X and Y are independent standard normal random variables, then X/Y has a t(1) distribution.
T F If X and Y are independent t(1) random variables, then X + Y has the same distribution as 2X.
T F If X and Y are independent Gamma(1, 1) random variables, then X/Y has an F(2, 2) distribution.
T F If X ∼ t(8), then E(eX) is finite. T F There are no integers m and n such that an F(m, n) random variable has a moment generating function.
T F If X ∼ t(m), then Y = −X ∼ t(m).
T F If X ∼ t(m), then 1/X2 ∼ F(1, m)
T F If X ∼ F(2n, 2n), then 1/(1 + X) ∼ Beta(n, n).
T F If X ∼ F(m, n), then 1/X ∼ F(n, m).
T F If X and Y are independent F(m, n) random variables, then X + Y ∼ F(2m, 2n)
If X and Y are independent standard normal random variables, then X/Y has a t(1) distribution. TRUE
If X and Y are independent t(1) random variables, then X + Y has the same distribution as 2X. TRUE
If X and Y are independent Gamma(1, 1) random variables, then X/Y has an F(2, 2) distribution. FALSE
If X ∼ t(8), then E(eX) is finite. FALSE
There are no integers m and n such that an F(m, n) random variable has a moment generating function.
If X ∼ t(m), then Y = −X ∼ t(m). FALSE
If X ∼ t(m), then 1/X2 ∼ F(1, m). TRUE
If X ∼ F(2n, 2n), then 1/(1 + X) ∼ Beta(n, n). FALSE
If X ∼ F(m, n), then 1/X ∼ F(n, m). TRUE
If X and Y are independent F(m, n) random variables, then X + Y ∼ F(2m, 2n). TRUE
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