As a hosptal administrator of a large hospital, you are concemed with the absenteeism among nurses aides. The issue has been raised by registered nurses, who feel they often have to perform work normaly done by their aides. To get the facts, absenteeism data were gathered for the last three weeks, which is considered a representative period for future conditions. After taking random samples of 64 personnel ties each day, the following data were produced Aides Absent Aides Absent Aldes Absent Day 1 2 Day 6 Day 11 6 7 3 12 5 8 1 13 4 9 7 14 1 5 G 10 15 Because your assessment of absenteeism is likely to come under careful soniny, you would like a 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 Design a p-chan The upper control first and the lower control tint is (Er your responses rounded to three decimal places. If your answer for the lower control limit is negative, enter this valve as 0) 4 11 b. Based on your p-chart and the data from the last 3 weeks, what can you conclude about the absenteeism of nurses' aides? Use the control limits from part (a) to determine if the process is out of control in the last 3 weeks. If any of the sample points fall outside of the then the process it out of statistical control. In order to determine if the process is out of control, compute the proportion of defects for each sample. To do so, divide the number of defects for your recopres as real numbers munded to three decimal places.) As a hosptal administrator of a large hospital, you are concemed with the absenteeism among nurses aides. The issue has been raised by registered nurses, who feel they often have to perform work normaly done by their aides. To get the facts, absenteeism data were gathered for the last three weeks, which is considered a representative period for future conditions. After taking random samples of 64 personnel ties each day, the following data were produced Aides Absent Aides Absent Aldes Absent Day 1 2 Day 6 Day 11 6 7 3 12 5 8 1 13 4 9 7 14 1 5 G 10 15 Because your assessment of absenteeism is likely to come under careful soniny, you would like a 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 Design a p-chan The upper control first and the lower control tint is (Er your responses rounded to three decimal places. If your answer for the lower control limit is negative, enter this valve as 0) 4 11 b. Based on your p-chart and the data from the last 3 weeks, what can you conclude about the absenteeism of nurses' aides? Use the control limits from part (a) to determine if the process is out of control in the last 3 weeks. If any of the sample points fall outside of the then the process it out of statistical control. In order to determine if the process is out of control, compute the proportion of defects for each sample. To do so, divide the number of defects for your recopres as real numbers munded to three decimal places.)
