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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
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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See the attached image for the introduction. 

Using your previous answer to part (b) above, give two-sided 95% confidence limits for the difference in mean percentage waste for supplier 3 and 4: µ3 − µ4. (Plug in completely, but you need not simplify.)

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
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
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