# For 50 circuit boards that had been rejected last

• 6
• 83% (36) 30 out of 36 people found this document helpful

This preview shows page 1 - 4 out of 6 pages.

##### We have textbook solutions for you!
The document you are viewing contains questions related to this textbook.
The document you are viewing contains questions related to this textbook.
Chapter 9 / Exercise 46
Modern Business Statistics with Microsoft Excel
Anderson/Sweeney
Expert Verified
For 50 circuit boards that had been rejected last month, the summary statement showed the following: C B C C D E C C B A D A C C C B C A C D C A C C B A C A C B C C A C A A C C D A C C C E C C A B A C b. Develop a Pareto chart to identify the more significant types of rejection.
##### We have textbook solutions for you!
The document you are viewing contains questions related to this textbook.
The document you are viewing contains questions related to this textbook.
Chapter 9 / Exercise 46
Modern Business Statistics with Microsoft Excel
Anderson/Sweeney
Expert Verified
c. Examine the causes of the most significant type of defect, using a cause-and-effect diagram. B Frequenc y frequency Cumulative frequency C 26 52% 52% A 12 24% 76% B 6 12% 88% D 4 8% 96% E 2 4% 100% Total 50 1 C 12. As a hospital administrator of a large hospital, you are concerned with the absenteeism among nurses’ aides. The issue has been raised by registered nurses, who feel they often have to perform work normally done by their aides. To get the facts, absenteeism data were gathered for the last 3 weeks, which is considered a representative period for future conditions. After taking random samples of 64 personnel files each day, the following data were produced: Day Aides Absent Day Aides Absent 1 4 9 2 3 10 3 2 11 4 4 12 5 2 13 6 5 14 7 3 15 8 Because your assessment of absenteeism is likely to come under careful scrutiny, you would like a Low copper plating Improper lamination Poor electrolyte coverage Improper etching Plating separation Proces s The unqualified circuit 7 2 3 2 1 3 4 4 Peopl e
type I error of only 1 percent. You want to be sure to identify any instances of unusual absences. If some are present, you will have to explore them on behalf of the registered nurses. a. Design a p-chart. b. Based on your p-chart and the data from the last 3 weeks, what can you conclude about the absenteeism of nurses’ aides?