Exercise 6. Suppose X1 and X2 are independent standard normal random variables. For a constant a let Wi = cos(a)X1 – sin(a)X2 W2 = sin(@)X1 + cos(@)X2 - Show that W and W2 are independent standard normal random variables.
Exercise 6. Suppose X1 and X2 are independent standard normal random variables. For a constant a let Wi = cos(a)X1 – sin(a)X2 W2 = sin(@)X1 + cos(@)X2 - Show that W and W2 are independent standard normal random variables.
A First Course in Probability (10th Edition)
10th Edition
ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
Section: Chapter Questions
Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...
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Transcribed Image Text:Exercise 6. Suppose X1 and X2 are independent standard normal random
variables. For a constant a let
Wi = cos(a)X1 – sin(a)X2
W2 = sin(a)X1 + cos(a)X2
|3D
Show that W1 and W2 are independent standard normal random variables.
Remark Geometrically the given transformation is just a rotation of the plane
by an angle a. So the conclusion is simply a reflection of the fact that the joint
distribution has circular symmetry; i.e. is invariant under rotations.
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