Q 8.2. Suppose that X₁ and X2 are two random variables whose joint distribution is Gaussian. Suppose that E[X₁] = E[X₂] = = 0, that E[X²] E[X₂] = 1 and that E[X₁X₂] = p where the correlation p€ (-1, +1). = (a) Construct from X₁ and X2, a pair of random variables Z₁ and Z₂ whose joint distribution is the standard Gaussian distribution on R2, and such that X₁ = Z₁ and X₂ = aZ₁ +bZ2 for constants a and b. Justify carefully that the standard Gaussian distribution on R² is indeed the joint distribution of your choice of Z₁ and Z₂. (b) Compute the variance of the random variable X2 + X2 and deduce that if p = 0 then this random variable does not have a x² distribution. You may use the fact that E[Z₁] [Hint: first calculate E[X²X2]] = 3.
Q 8.2. Suppose that X₁ and X2 are two random variables whose joint distribution is Gaussian. Suppose that E[X₁] = E[X₂] = = 0, that E[X²] E[X₂] = 1 and that E[X₁X₂] = p where the correlation p€ (-1, +1). = (a) Construct from X₁ and X2, a pair of random variables Z₁ and Z₂ whose joint distribution is the standard Gaussian distribution on R2, and such that X₁ = Z₁ and X₂ = aZ₁ +bZ2 for constants a and b. Justify carefully that the standard Gaussian distribution on R² is indeed the joint distribution of your choice of Z₁ and Z₂. (b) Compute the variance of the random variable X2 + X2 and deduce that if p = 0 then this random variable does not have a x² distribution. You may use the fact that E[Z₁] [Hint: first calculate E[X²X2]] = 3.
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8.2
![Q 8.2. Suppose that X₁ and X₂ are two random variables whose joint distribution is Gaussian.
Suppose that E[X₁] = E[X₂] = 0, that E[X²] = E[X²] = 1 and that E[X₁X₂] = p where the
correlation p€ (−1, +1).
ρε
(a) Construct from X₁ and X2, a pair of random variables Z₁ and Z₂ whose joint distribution
is the standard Gaussian distribution on R², and such that X₁ = Z₁ and X₂ = a Z₁ +bZ₂
for constants a and b. Justify carefully that the standard Gaussian distribution on R2 is
indeed the joint distribution of your choice of Z₁ and Z₂.
1
(b) Compute the variance of the random variable X² + X2 and deduce that if p ‡ 0 then this
random variable does not have a x² distribution. You may use the fact that E[Z₁] = 3.
[Hint: first calculate E[X²X₂]]
2
On the x² distribution.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fb41de797-8c36-43f3-a49e-0d77bbbd163e%2F33ba2e02-045f-4df6-8ea8-548c08d79693%2F1r6ofih_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Q 8.2. Suppose that X₁ and X₂ are two random variables whose joint distribution is Gaussian.
Suppose that E[X₁] = E[X₂] = 0, that E[X²] = E[X²] = 1 and that E[X₁X₂] = p where the
correlation p€ (−1, +1).
ρε
(a) Construct from X₁ and X2, a pair of random variables Z₁ and Z₂ whose joint distribution
is the standard Gaussian distribution on R², and such that X₁ = Z₁ and X₂ = a Z₁ +bZ₂
for constants a and b. Justify carefully that the standard Gaussian distribution on R2 is
indeed the joint distribution of your choice of Z₁ and Z₂.
1
(b) Compute the variance of the random variable X² + X2 and deduce that if p ‡ 0 then this
random variable does not have a x² distribution. You may use the fact that E[Z₁] = 3.
[Hint: first calculate E[X²X₂]]
2
On the x² distribution.
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