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Information errors found while processing patient records fall into two categories- major, and minor. Twenty samples of 5 records are chosen, and the total number of errors in each category is reported below. Assuming a weighting system of 50 and 10 for major and minor nonconformities, respectively, construct demerits per unit control chart. Revise the control limits if necessary, assuming special causes for points that are out of control. Sample 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 Major Error 0 0 1 1 0 0 0 1 0 2 1 0 0 0 0 0 1 0 0 0 Minor Error 8 2 6 5 8 3 10 5 9 6 2 8 als 96 12 8 3 5 2 8 6

Information errors found while processing patient records fall into two categories- major, and minor. Twenty samples of 5 records are chosen, and the total number of errors in each category is reported below. Assuming a weighting system of 50 and 10 for major and minor nonconformities, respectively, construct demerits per unit control chart. Revise the control limits if necessary, assuming special causes for points that are out of control. Sample 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 Major Error 0 0 1 1 0 0 0 1 0 2 1 0 0 0 0 0 1 0 0 0 Minor Error 8 2 6 5 8 3 10 5 9 6 2 8 als 96 12 8 3 5 2 8 6

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
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**Title: Developing a Demerit Control Chart for Patient Record Processing Errors** **Overview:** Information errors found while processing patient records fall into two categories: major and minor. In this study, twenty samples of 5 records each were chosen, and the total number of errors in each category is reported below. Using a weighting system of 50 for major nonconformities and 10 for minor nonconformities, we aim to construct a demerits per unit control chart. Control limits will be revised as needed, assuming special causes for points that are out of control. **Data Table:** | Sample | Major Error | Minor Error | |--------|-------------|-------------| | 1 | 0 | 8 | | 2 | 0 | 2 | | 3 | 1 | 6 | | 4 | 1 | 5 | | 5 | 0 | 8 | | 6 | 0 | 3 | | 7 | 0 | 10 | | 8 | 1 | 5 | | 9 | 0 | 9 | | 10 | 2 | 6 | | 11 | 1 | 2 | | 12 | 1 | 8 | | 13 | 0 | 9 | | 14 | 0 | 12 | | 15 | 0 | 8 | | 16 | 1 | 0 | | 17 | 1 | 5 | | 18 | 0 | 2 | | 19 | 0 | 8 | | 20 | 0 | 6 | **Instructions for Analysis:** 1. **Calculate Demerit Scores:** - Use the weighting system to compute total demerit scores for each sample. - Demerit Score = (Number of Major Errors × 50) + (Number of Minor Errors × 10). 2. **Create Demerits per Unit Chart:** - Plot the demerit scores for each sample. - Calculate the average demerit score and control limits. 3. **Evaluate Control Limits:**
Transcribed Image Text:**Title: Developing a Demerit Control Chart for Patient Record Processing Errors** **Overview:** Information errors found while processing patient records fall into two categories: major and minor. In this study, twenty samples of 5 records each were chosen, and the total number of errors in each category is reported below. Using a weighting system of 50 for major nonconformities and 10 for minor nonconformities, we aim to construct a demerits per unit control chart. Control limits will be revised as needed, assuming special causes for points that are out of control. **Data Table:** | Sample | Major Error | Minor Error | |--------|-------------|-------------| | 1 | 0 | 8 | | 2 | 0 | 2 | | 3 | 1 | 6 | | 4 | 1 | 5 | | 5 | 0 | 8 | | 6 | 0 | 3 | | 7 | 0 | 10 | | 8 | 1 | 5 | | 9 | 0 | 9 | | 10 | 2 | 6 | | 11 | 1 | 2 | | 12 | 1 | 8 | | 13 | 0 | 9 | | 14 | 0 | 12 | | 15 | 0 | 8 | | 16 | 1 | 0 | | 17 | 1 | 5 | | 18 | 0 | 2 | | 19 | 0 | 8 | | 20 | 0 | 6 | **Instructions for Analysis:** 1. **Calculate Demerit Scores:** - Use the weighting system to compute total demerit scores for each sample. - Demerit Score = (Number of Major Errors × 50) + (Number of Minor Errors × 10). 2. **Create Demerits per Unit Chart:** - Plot the demerit scores for each sample. - Calculate the average demerit score and control limits. 3. **Evaluate Control Limits:**
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