(i) Verify that P(|38| ≤e) = 1-a and conclude that, if o is known, [B Xi: Yi: Xi: Yi: O √nvx is a 100(1- a)% confidence interval of B. (ii) Suppose we know that o= : 2 and are given the following data points (xį, y₁): Za/27 ·2 Give a 95% confidence interval of 3¹. σ ε =2a/27 √nvx O √nvx B + 2a/27 4.44 5.18 -3.08 3.99 4.39 3.3 -1.25 1.03 14.11 16.61 -0.58 15.78 13.2 12.69 2.93 5.27 4.09 4.33 -2.75 -2.85 -2.57 3.16 1.51 4.25 13.81 15.56 -2.43 -4.66 0.59 11.67 6.07 14.78

A First Course in Probability (10th Edition)
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Author:Sheldon Ross
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Chapter1: Combinatorial Analysis
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Recall the simple regression model
Y = a + 3X + €
where the random error & ~ N(0,02). Let 3 be the MLE estimator of the slope ß. In
Homework 3 Exercise 3, we found the distribution of this point estimator to be
جور عليه
B~N
0²
nVx
where v is the variance of the empirical distribution of x1, x2,
, Xn.
Transcribed Image Text:Recall the simple regression model Y = a + 3X + € where the random error & ~ N(0,02). Let 3 be the MLE estimator of the slope ß. In Homework 3 Exercise 3, we found the distribution of this point estimator to be جور عليه B~N 0² nVx where v is the variance of the empirical distribution of x1, x2, , Xn.
(i) Verify that
P(|3 – ß| ≤ €) = 1 - a
and conclude that, if σ is known,
Xi:
Yi:
Xi:
Yi:
O
/nVT
is a 100(1 a)% confidence interval of B.
(ii) Suppose we know that σ = 2 and are given the following data points (x₁, yi):
o
Za/21
2
Give a 95% confidence interval of 3¹.
E =
B + Za/27
O
Za/21 /nvx
O
/nv x
4.44 5.18 -3.08 3.99 4.39 3.3 -1.25 1.03
14.11
16.61 -0.58 15.78 13.2 12.69
2.93 5.27
4.09
1.51
4.25
4.33 -2.75 -2.85 -2.57 3.16
15.56 -2.43 -4.66 0.59 11.67
13.81
6.07 14.78
Transcribed Image Text:(i) Verify that P(|3 – ß| ≤ €) = 1 - a and conclude that, if σ is known, Xi: Yi: Xi: Yi: O /nVT is a 100(1 a)% confidence interval of B. (ii) Suppose we know that σ = 2 and are given the following data points (x₁, yi): o Za/21 2 Give a 95% confidence interval of 3¹. E = B + Za/27 O Za/21 /nvx O /nv x 4.44 5.18 -3.08 3.99 4.39 3.3 -1.25 1.03 14.11 16.61 -0.58 15.78 13.2 12.69 2.93 5.27 4.09 1.51 4.25 4.33 -2.75 -2.85 -2.57 3.16 15.56 -2.43 -4.66 0.59 11.67 13.81 6.07 14.78
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