Follow the steps in hypothesis using p-value method. The output of the Microsoft Excel was attached. 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 σ1= 0.020 and σ2 = 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.
Follow the steps in hypothesis using p-value method. The output of the Microsoft Excel was attached. 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 σ1= 0.020 and σ2 = 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.
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 was attached.
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 σ1= 0.020 and σ2 = 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.
Transcribed Image Text:1 t-Test:
2
4 Mean
N345
3
5
6
7
Variance
Observations
Hypothesized Me
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
15
A
B
с
Two-Sample Assuming Unequal Variances
Variable 1
Variable 2
14.015 16.005
17.77869444 0.00065
10
10
0
9
-1.492434241
0.084892188
1.833112933
0.169784375
2.262157163
8
D
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