3. The example from lectures (the liquid filling machine) is considered for the second time. We will again assume that the machine fills the canisters with liquid and volume of liquid (in liters) within each canister follows approximately the normal distribution N(μ, 2) and the amount of liquid in each canister is thought to be independent one another. This time, 16 measurement results have been collected and (again) we assume μ and σ² > 0 are unknown. Suppose now that the measurements (in liters) are as below y = (9.88, 10.11, 10.33, 10.47, 9.84, 10.17, 10.13, 10.58, 10.22, 10.72, 10.07, 10.33, 10.04, 10.45, 10.16, 9.47) Using the data determine (a) some one-sided 99% confidence interval for parameter μ. (b) two-sided symmetric 99% confidence interval for parameter μ.

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Question
3. The example from lectures (the liquid filling machine) is considered for the second
time. We will again assume that the machine fills the canisters with liquid and volume
of liquid (in liters) within each canister follows approximately the normal distribution
N(μ, 2) and the amount of liquid in each canister is thought to be independent one
another. This time, 16 measurement results have been collected and (again) we
assume μ and σ² > 0 are unknown. Suppose now that the measurements (in liters)
are as below
y = (9.88, 10.11, 10.33, 10.47, 9.84, 10.17, 10.13, 10.58,
10.22, 10.72, 10.07, 10.33, 10.04, 10.45, 10.16, 9.47)
Using the data determine
(a) some one-sided 99% confidence interval for parameter μ.
(b) two-sided symmetric 99% confidence interval for parameter μ.
Transcribed Image Text:3. The example from lectures (the liquid filling machine) is considered for the second time. We will again assume that the machine fills the canisters with liquid and volume of liquid (in liters) within each canister follows approximately the normal distribution N(μ, 2) and the amount of liquid in each canister is thought to be independent one another. This time, 16 measurement results have been collected and (again) we assume μ and σ² > 0 are unknown. Suppose now that the measurements (in liters) are as below y = (9.88, 10.11, 10.33, 10.47, 9.84, 10.17, 10.13, 10.58, 10.22, 10.72, 10.07, 10.33, 10.04, 10.45, 10.16, 9.47) Using the data determine (a) some one-sided 99% confidence interval for parameter μ. (b) two-sided symmetric 99% confidence interval for parameter μ.
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