(a) Construct a two-sided 100(1-a)% confidence interval for the difference μx - μy. (b) We want to obtain a 90% confidence interval for the difference between true average cable strengt made by Company X and by Company Y. Suppose cable strength is normally distributed for bo types of cables with ox = 70 and oy = 50. If we can make n+m =6000 observations, how ma of these should be on Company X cable if we want to minimize the width of the interval?

MATLAB: An Introduction with Applications
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Chapter1: Starting With Matlab
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2. Let X₁,..., Xn
both o and o
i.i.d.
i.i.d.
N(ux,ox), Yi,…,Ym N(μy, o) and they are independent. Suppose that
Y,
are known.
(a) Construct a two-sided 100(1-a)% confidence interval for the difference μx - μy.
(b) We want to obtain a 90% confidence interval for the difference between true average cable strengths
made by Company X and by Company Y. Suppose cable strength is normally distributed for both
types of cables with ox = 70 and oy = 50. If we can make n + m = 6000 observations, how many
of these should be on Company X cable if we want to minimize the width of the interval?
Transcribed Image Text:2. Let X₁,..., Xn both o and o i.i.d. i.i.d. N(ux,ox), Yi,…,Ym N(μy, o) and they are independent. Suppose that Y, are known. (a) Construct a two-sided 100(1-a)% confidence interval for the difference μx - μy. (b) We want to obtain a 90% confidence interval for the difference between true average cable strengths made by Company X and by Company Y. Suppose cable strength is normally distributed for both types of cables with ox = 70 and oy = 50. If we can make n + m = 6000 observations, how many of these should be on Company X cable if we want to minimize the width of the interval?
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