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Two machines are used for filling plastic bottles with a net volume of 16.0 ounces. The fill volume can be assumed to be normal with standard deviation 0₁ 0.020 and ₂ = 0.025 ounces. A member of the quality engineering staff suspects that both machines fill to the same mean net volume, whether this volume is 16.0 ounces. A random sample of 10 bottles is taken from the output of each machine. (Montgomery and Rungers, p. 381) Here is the Microsoft Excel Report from the data given on this problem. A B с D 1 t-Test: Two-Sample Assuming Unequal Variances 2 3 Variable 1 Variable 2 4 Mean 14.015 16.005 5 Variance 0.00065 6 Observations 10 7 Hypothesized Me 8 df 9 t Stat 10 P(T<=t) one-tail 11 t Critical one-tail 12 P(T<=t) two-tail 13 t Critical two-tail 14 17.77869444 10 0 9 -1.492434241 0.084892188 1.833112933 0.169784375 2.262157163

Two machines are used for filling plastic bottles with a net volume of 16.0 ounces. The fill volume can be assumed to be normal with standard deviation 0₁ 0.020 and ₂ = 0.025 ounces. A member of the quality engineering staff suspects that both machines fill to the same mean net volume, whether this volume is 16.0 ounces. A random sample of 10 bottles is taken from the output of each machine. (Montgomery and Rungers, p. 381) Here is the Microsoft Excel Report from the data given on this problem. A B с D 1 t-Test: Two-Sample Assuming Unequal Variances 2 3 Variable 1 Variable 2 4 Mean 14.015 16.005 5 Variance 0.00065 6 Observations 10 7 Hypothesized Me 8 df 9 t Stat 10 P(T<=t) one-tail 11 t Critical one-tail 12 P(T<=t) two-tail 13 t Critical two-tail 14 17.77869444 10 0 9 -1.492434241 0.084892188 1.833112933 0.169784375 2.262157163

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Follow the steps in hypothesis using p-value method. The output of the
Microsoft Excel is shown in the last part.

 

Two machines are used for filling plastic bottles with a net volume of 16.0 ounces. The fill volume can be assumed to be normal with standard deviation o₁= 0.020 and ₂ = 0.025 ounces. A member of the quality engineering staff suspects that both machines fill to the same mean net volume, whether this volume is 16.0 ounces. A random sample of 10 bottles is taken from the output of each machine. (Montgomery and Rungers, p. 381) Here is the Microsoft Excel Report from the data given on this problem. A B с D 1 t-Test: Two-Sample Assuming Unequal Variances 2 3 Variable 1 Variable 2 14.015 16.005 4 Mean 5 Variance 0.00065 6 Observations 10 7 Hypothesized Me 8 df 9 t Stat 10 P(T<=t) one-tail 11 t Critical one-tail 12 P(T<=t) two-tail 13 t Critical two-tail 14 17.77869444 10 0 9 -1.492434241 0.084892188 1.833112933 0.169784375 2.262157163
Transcribed Image Text:Two machines are used for filling plastic bottles with a net volume of 16.0 ounces. The fill volume can be assumed to be normal with standard deviation o₁= 0.020 and ₂ = 0.025 ounces. A member of the quality engineering staff suspects that both machines fill to the same mean net volume, whether this volume is 16.0 ounces. A random sample of 10 bottles is taken from the output of each machine. (Montgomery and Rungers, p. 381) Here is the Microsoft Excel Report from the data given on this problem. A B с D 1 t-Test: Two-Sample Assuming Unequal Variances 2 3 Variable 1 Variable 2 14.015 16.005 4 Mean 5 Variance 0.00065 6 Observations 10 7 Hypothesized Me 8 df 9 t Stat 10 P(T<=t) one-tail 11 t Critical one-tail 12 P(T<=t) two-tail 13 t Critical two-tail 14 17.77869444 10 0 9 -1.492434241 0.084892188 1.833112933 0.169784375 2.262157163
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