Exercise 13. Let X₁,..., Xn~ N(x, o2) i.i.d. and Y1₁,..., Yn~ N(My, 02) i.i.d. with known o². We assume that for each i the random variables X, and Y₂ are correlated, with Corr(X₁, Y₁) = 1/2. Define D₁ = X₁ - Yį for all i € {1,...,n}. Finally, let X, Y and D be the averages of the X₁, Yi and Di, respectively. a) Show that Cov(Xi, Yi) = 02/2.
Exercise 13. Let X₁,..., Xn~ N(x, o2) i.i.d. and Y1₁,..., Yn~ N(My, 02) i.i.d. with known o². We assume that for each i the random variables X, and Y₂ are correlated, with Corr(X₁, Y₁) = 1/2. Define D₁ = X₁ - Yį for all i € {1,...,n}. Finally, let X, Y and D be the averages of the X₁, Yi and Di, respectively. a) Show that Cov(Xi, Yi) = 02/2.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Could you help me with c and d please .Could you also please provide written out explanations , not typed up please if possible
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