The data refer to 5 suppliers of the Levi-Strauss clothing manufacturing plant in Albuquerque. The firm's quality control department collects weekly data on percentage waste y (run-up). The sample means (ỹ;) and sample standard deviations s, are given in the JMP output below (last table) for each supplier (labeled as 1, 2, 3, 4, 5). Response Run-Up Residual by Predicted Plot Oneway Analysis of Run-Up By Supplier Plant Number 20 25 15 10 20 15 -10 -15 10 -20 -25 -15 -10 -5 10 15 20 25 Run-Up Predicted Residual Normal Quantile Plot 20 -10 15 -15 10 Supplier Plant Number • Oneway Anova * Analysis of Variance Sum of Squares Mean Square 544.6349 F Ratio Prob >F 0.0084 Source DF Supplier Plant Number Error 136.159 37.236 3.6566 -5 88 3276.7896 92 3821.4245 C. Total Means and Std Deviations -10 Std Err Mean Lower 96% Upper 95% Level Number Mean Std Dev -15 21 2.7047619 5.4155772 1.1817758 0.2396207 5.1699031 21 5.9095238 7.0884346 1.5468232 19 4.8315789 4.4031621 1.0101547 2.6829071 9.1361405 -20 2.7093228 6.9538351 19 7.4894737 3.6570928 0.8389946 5.7268114 9.252136 13 10.376923 9.5550296 2.6500884 4.6028765 16.15097 Normal Quantle --- ... S0'0 L00 empe dn-unu empsy dn-uny dn-ure
The data refer to 5 suppliers of the Levi-Strauss clothing manufacturing plant in Albuquerque. The firm's quality control department collects weekly data on percentage waste y (run-up). The sample means (ỹ;) and sample standard deviations s, are given in the JMP output below (last table) for each supplier (labeled as 1, 2, 3, 4, 5). Response Run-Up Residual by Predicted Plot Oneway Analysis of Run-Up By Supplier Plant Number 20 25 15 10 20 15 -10 -15 10 -20 -25 -15 -10 -5 10 15 20 25 Run-Up Predicted Residual Normal Quantile Plot 20 -10 15 -15 10 Supplier Plant Number • Oneway Anova * Analysis of Variance Sum of Squares Mean Square 544.6349 F Ratio Prob >F 0.0084 Source DF Supplier Plant Number Error 136.159 37.236 3.6566 -5 88 3276.7896 92 3821.4245 C. Total Means and Std Deviations -10 Std Err Mean Lower 96% Upper 95% Level Number Mean Std Dev -15 21 2.7047619 5.4155772 1.1817758 0.2396207 5.1699031 21 5.9095238 7.0884346 1.5468232 19 4.8315789 4.4031621 1.0101547 2.6829071 9.1361405 -20 2.7093228 6.9538351 19 7.4894737 3.6570928 0.8389946 5.7268114 9.252136 13 10.376923 9.5550296 2.6500884 4.6028765 16.15097 Normal Quantle --- ... S0'0 L00 empe dn-unu empsy dn-uny dn-ure
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
See image for question introduction.
Conduct a test of the null hypothesis H0: µ1 = µ2 = µ3 = µ4 = µ5 and state a conclusion formulated in terms of Ha here for feed rate groups.
Transcribed Image Text:The data refer to 5 suppliers of the Levi-Strauss clothing manufacturing plant in Albuquerque. The
firm's quality control department collects weekly data on percentage waste y (run-up).
The sample means (ỹ;) and sample standard deviations s, are given in the JMP output below (last
table) for each supplier (labeled as 1, 2, 3, 4, 5).
Response Run-Up
Residual by Predicted Plot
Oneway Analysis of Run-Up By Supplier Plant Number
20
25
15
10
20
15
-10
-15
10
-20
-25
-15
-10
-5
10
15
20
25
Run-Up Predicted
Residual Normal Quantile Plot
20
-10
15
-15
10
Supplier Plant Number
• Oneway Anova
* Analysis of Variance
Sum of
Squares Mean Square
544.6349
F Ratio Prob >F
0.0084
Source
DF
Supplier Plant Number
Error
136.159
37.236
3.6566
-5
88 3276.7896
92 3821.4245
C. Total
Means and Std Deviations
-10
Std Err
Mean Lower 96% Upper 95%
Level Number
Mean
Std Dev
-15
21 2.7047619 5.4155772 1.1817758
0.2396207
5.1699031
21 5.9095238 7.0884346 1.5468232
19 4.8315789 4.4031621 1.0101547
2.6829071
9.1361405
-20
2.7093228
6.9538351
19 7.4894737 3.6570928 0.8389946
5.7268114
9.252136
13 10.376923 9.5550296 2.6500884
4.6028765
16.15097
Normal Quantle
--- ...
S0'0
L00
empe dn-unu
empsy dn-uny
dn-ure
Expert Solution
This question has been solved!
Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.
This is a popular solution!
Trending now
This is a popular solution!
Step by step
Solved in 2 steps
Knowledge Booster
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, statistics and related others by exploring similar questions and additional content below.Recommended textbooks for you
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
The Basic Practice of Statistics
Statistics
ISBN:
9781319042578
Author:
David S. Moore, William I. Notz, Michael A. Fligner
Publisher:
W. H. Freeman
Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman