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Sample Defects 1 9 234 5 67 8 9 10 14 3 05 10 15 15 11 11 14 10 The average of the selected cell(s) is9.000. Copy Value

Sample Defects 1 9 234 5 67 8 9 10 14 3 05 10 15 15 11 11 14 10 The average of the selected cell(s) is9.000. Copy Value

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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Judy Holmes Textiles has decided to use a c-Chart to monitor the number of defects per pair of jeans produced by their manufacturing process. The c-Chart should be constructed with 3-sigma control limits. The operations manager randomly samples one pair of jeans at 10 successively selected time periods and counts the number of defects on the pair of jeans. Step 6 of 7: At the next time period, 9 defects were detected on the randomly selected pair of jeans. Determine if the process is "In Control" or "Out of Control". Answer: - In Control ( ) - Out of Control ( ) Options available: - Tables - Keypad - Keyboard Shortcuts - Previous step answers - Updated Control Chart The image does not contain any graphs or diagrams.
Transcribed Image Text:Judy Holmes Textiles has decided to use a c-Chart to monitor the number of defects per pair of jeans produced by their manufacturing process. The c-Chart should be constructed with 3-sigma control limits. The operations manager randomly samples one pair of jeans at 10 successively selected time periods and counts the number of defects on the pair of jeans. Step 6 of 7: At the next time period, 9 defects were detected on the randomly selected pair of jeans. Determine if the process is "In Control" or "Out of Control". Answer: - In Control ( ) - Out of Control ( ) Options available: - Tables - Keypad - Keyboard Shortcuts - Previous step answers - Updated Control Chart The image does not contain any graphs or diagrams.
### Sample Defects Data Table and Analysis Below is a table displaying the number of defects observed across ten samples. Each sample is listed alongside its corresponding defect count. | Sample | Defects | |--------|---------| | 1 | 9 | | 2 | 14 | | 3 | 3 | | 4 | 10 | | 5 | 15 | | 6 | 15 | | 7 | 11 | | 8 | 11 | | 9 | 14 | | 10 | 10 | ### Analysis - **Average Defects Calculation:** The average of the selected cell(s) is displayed as 9.000. This average is calculated by summing the number of defects in each sample and dividing by the total number of samples. This information can be valuable for understanding the quality control process and identifying variability in defect occurrences across different samples.
Transcribed Image Text:### Sample Defects Data Table and Analysis Below is a table displaying the number of defects observed across ten samples. Each sample is listed alongside its corresponding defect count. | Sample | Defects | |--------|---------| | 1 | 9 | | 2 | 14 | | 3 | 3 | | 4 | 10 | | 5 | 15 | | 6 | 15 | | 7 | 11 | | 8 | 11 | | 9 | 14 | | 10 | 10 | ### Analysis - **Average Defects Calculation:** The average of the selected cell(s) is displayed as 9.000. This average is calculated by summing the number of defects in each sample and dividing by the total number of samples. This information can be valuable for understanding the quality control process and identifying variability in defect occurrences across different samples.
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