A First Course in Probability (10th Edition)
A First Course in Probability (10th Edition)
10th Edition
ISBN: 9780134753119
Author: Sheldon Ross
Publisher: PEARSON
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Q 6.1. Suppose Z = (Z₁, Z2, Z3) is a standard multi-variate Gaussian random variable i.e., for
i ≤ 3, Zi~ N(0, 1) are i.i.d. random variables.
Each of the random variables, (a)–(d), on the left is equal in distribution to exactly one
random variables, (1)–(4), on the right. Pair up according to "equal in distribution" and explain
briefly your reasoning.
X₁
(a)
X₂
(b) (x₂) - (2)
(c) (x²) - (¹/1² 1/√²) (2₁)
(3/√2
=
√2
=
(V2)
Z₁
(d) (x) - (1) (²)
X2
Y₁
(9)-(-) (2)
(1=1)
Y₂
(1)
Y₁
(²) (4) - (1/²
(3)
(1/√√2
1/√2-1/√2)
(x₁) = (²₁ ² ✓/³²) (3)
2 2 √2
1
Z3
Y₁
→ ()-())
(4)
=
Y₂
1/2) (2)
1)
(2)
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Transcribed Image Text:Q 6.1. Suppose Z = (Z₁, Z2, Z3) is a standard multi-variate Gaussian random variable i.e., for i ≤ 3, Zi~ N(0, 1) are i.i.d. random variables. Each of the random variables, (a)–(d), on the left is equal in distribution to exactly one random variables, (1)–(4), on the right. Pair up according to "equal in distribution" and explain briefly your reasoning. X₁ (a) X₂ (b) (x₂) - (2) (c) (x²) - (¹/1² 1/√²) (2₁) (3/√2 = √2 = (V2) Z₁ (d) (x) - (1) (²) X2 Y₁ (9)-(-) (2) (1=1) Y₂ (1) Y₁ (²) (4) - (1/² (3) (1/√√2 1/√2-1/√2) (x₁) = (²₁ ² ✓/³²) (3) 2 2 √2 1 Z3 Y₁ → ()-()) (4) = Y₂ 1/2) (2) 1) (2)
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