# (Solved Homework): Wanab-BUS 352 ×° DoHomework-Noah 9 ARestaurant Is Consi ×"G solved: Robert Raged'…

Wanab-BUS 352 ×° DoHomework-Noah 9 ARestaurant Is Consi ×”G solved: Robert Raged’ ,’ D Determine The Upper x × C Secure https:/ G Shopping Cart l Che.. ts.a.. ☆ □ Other Bookmarks Student PlayerHomework.aspx?homeworkld-438794642&questionld- 1&flushed false&cld 4592289 Apps Shopping Cart FB Bee Species-Feed. BUS 352-01 Fall 2017 (1) Noah Tomy 9/13/1 73:56 PM Homework: HW4 – Quality & Performance Score: 0 of 1 pt Problem 12 Save 10f 6,0 completo) ▼ HW Score: 0%, 0 of 6 pts Question Help As a hospital 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 oten have to perform work normally done by heir aides To get the facts, abeenteeism data were gathered for the last three weeks, which is considered a representative period for fufture condtions. After taking random samples of 65 personnel tles each day. the following data were produced ay Aidies Absent Day Aides Absent Day Aldes Absent 12 13 14 13 10 your assessment of absentoeism is ikely to come under careful scnainy, you would ske a type I error of only 1 percent You want to be sure to identify any instances of unusual absences. f some are present you will have to explore them on behalf of the registered nurses a. Design a p-chart The upper control limit is and the lower control simit is(Enter your responses rounded to three decimal places. If your answer for the lower control imit is negative, enter this valve as 0) Enter your answer in the edit felds and then click Check Answer. Cear All Check Anower

 Day Aides absent Proportion absent 1 3 0.046153846 2 4 0.061538462 3 5 0.076923077 4 5 0.076923077 5 7 0.107692308 6 6 0.092307692 7 4 0.061538462 8 4 0.061538462 9 4 0.061538462 10 8 0.123076923 11 5 0.076923077 12 3 0.046153846 13 13 0.2 14 5 0.076923077 15 8 0.123076923 Total = 1.292307692

$\bar{p} = 1.292307692 \div 15$

$\bar{p} = 0.08615$

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$\sigma _{p} = \sqrt{\bar{p}(1-\bar{p})/n}$

$\sigma _{p} = \sqrt{0.08615(1-0.08615)/15}$

$\sigma _{p} =0.072447$

$UCL = \bar{p}+3\sigma _{p}$

$LCL= \bar{p}-3\sigma _{p}$

UCL = 0.08615 + 3 x 0.072447

UCL = 0.303

LCL = 0.08615 – 3 x 0.072447

LCL = 0

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