Consider a pair of random variables (X, Y) with unknown distribution. Assume the difference D = X – Y is normal with D ~ N(µD, σ). Suppose we are given the following sample data for (X, Y)²: (16.9, 20.5) (14.6, 21) (23.6, 29.2) (22.8, 26.6) (16.2, 22.8) (12.7, 17.1) Compute a 95% confidence interval of D ¹For comparison, the actual value is μ = 11.7. 2For comparison, the actual value is up = -5.3. (23.1, 28.2) (18.1, 24) (26, 29.9) (22.5, 28.3) (17.3, 22.4)

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Consider a pair of random variables (X, Y) with unknown distribution. Assume the
difference D = X - Y is normal with D~ N(D, o). Suppose we are given the following
sample data for (X, Y)²:
(16.9, 20.5) (23.6, 29.2) (16.2, 22.8)
(14.6, 21)
(22.8, 26.6) (12.7, 17.1)
Compute a 95% confidence interval of µp
=
¹For comparison, the actual value is u 11.7.
2For comparison, the actual value is µp = −5.3.
1
(23.1, 28.2)
(18.1, 24)
(i) using the knowledge that of = 1.3;
(ii) assuming we do not know the value of op.
(26, 29.9)
(22.5, 28.3)
(17.3, 22.4)
Transcribed Image Text:Consider a pair of random variables (X, Y) with unknown distribution. Assume the difference D = X - Y is normal with D~ N(D, o). Suppose we are given the following sample data for (X, Y)²: (16.9, 20.5) (23.6, 29.2) (16.2, 22.8) (14.6, 21) (22.8, 26.6) (12.7, 17.1) Compute a 95% confidence interval of µp = ¹For comparison, the actual value is u 11.7. 2For comparison, the actual value is µp = −5.3. 1 (23.1, 28.2) (18.1, 24) (i) using the knowledge that of = 1.3; (ii) assuming we do not know the value of op. (26, 29.9) (22.5, 28.3) (17.3, 22.4)
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