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.

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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

Exercise 13. Let X₁,..., Xn~ N(μx, 0²) i.i.d. and Y₁,..., Yn ~ N(μy, o²) i.i.d. with known o².
We assume that for each i the random variables X; and Y; are correlated, with Corr(Xį, Yį) = 1/2.
Define D₁ = X₁ - Yį for all i € {1,...,n}. Finally, let X, Ỹ and Ď be the averages of the Xį, Yi
and Di, respectively.
a) Show that Cov(X₁, Yi) = 0²/2.
b) Determine E(D₁) and Var(D₂).
c) Consider the test for Ho: μx = µy which uses the test statistic
Z = √n
O
and which rejects Ho, if and only if |Z| > 1.96. Show that P(type I error) = 5%.
d) In two or three sentences, discuss the differences between the test from part (c) on the one
hand, and the non-paired test for comparing the means of two populations on the other
hand.
Transcribed Image Text:Exercise 13. Let X₁,..., Xn~ N(μx, 0²) i.i.d. and Y₁,..., Yn ~ N(μy, o²) i.i.d. with known o². We assume that for each i the random variables X; and Y; are correlated, with Corr(Xį, Yį) = 1/2. Define D₁ = X₁ - Yį for all i € {1,...,n}. Finally, let X, Ỹ and Ď be the averages of the Xį, Yi and Di, respectively. a) Show that Cov(X₁, Yi) = 0²/2. b) Determine E(D₁) and Var(D₂). c) Consider the test for Ho: μx = µy which uses the test statistic Z = √n O and which rejects Ho, if and only if |Z| > 1.96. Show that P(type I error) = 5%. d) In two or three sentences, discuss the differences between the test from part (c) on the one hand, and the non-paired test for comparing the means of two populations on the other hand.
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