Corresponding percentages for the number of linens

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Reference no: EM13837799

Case #1

You are the manager of a family practice clinic.  You have been collecting patient satisfaction surveys for the past 6 months and discovered the one item that is consistently the number 1 complaint is the wait time.  Your staff nurse tells you that the wait times do not seem very long.  However, the employee who schedules the appointments tells you the patients seem bothered by the amount of time they have to wait to see a physician.  The wait time data is included in the data table below.   

Day of the month

Avg. Wait time (min)

Day of month

Avg. wait time (min)

1

30

16

34

2

50

17

34

3

28

20 (Mon.)

75

6 (Mon.)

85

21

60

7

70

22

28

8

20

23

45

9

35

24

50

10

40

27 (Mon.)

80

13 (Mon.)

75

28

25

14

62

29

18

15

38

30

40

What is the best graph to use to display this data and why?

  • Complete this graph using Excel. Graph is to be in presentation ready style. Legend must be included with graph.
  • What analysis can you make after seeing the data displayed?

Case #2

You have submitted a request to the CEO of your hospital for new linens.  Before your request will be approved you are asked to the submit reasons for linen discards. Below is the data you collected over the past month: 

Discard Reason

Number discarded

Large tear

15

Small holes

9

Permanently soiled

16

Discolored

10

Threadbare

25

  • Graph this date in the most appropriate graph. Same data must be included as stipulated above

(Title,etc.)

  • Complete the corresponding percentages for the number of linens discarded. Graph accordingly.
  • What analysis can you make from this data?

Case #3

From the data provided in the tables below, pick one set of data and create an appropriate graph to represent that data which is (Pareto graph).

Profile of Hospital Patients, Lakewood Regional Medical Center, California

 

Discharges

% of patients

Length of stay in days

Race/Ethnicity

 

 

 

    White

5235

63.5

4.8

    Black

772

9.4

4.3

    Hispanic

1597

19.4

3.1

    Native American

96

1.2

3.8

    Asian

482

5.9

5.0

    Other/unknown

55

0.7

3.3

Admission Source

 

 

 

Routine

3,585

43.5

4.2

Emergency Room

3299

40.0

5.2

Home Health

1

0.0

3.0

    SNF/ICF

167

2.0

8.4

Other facility

38

0.5

4.7

    Newborn

1032

12.5

1.6

 

Adjusted Total Charges

Age

Total $

$/Day

$/stay

Average stay in days

<29 days

781,716

476

746

1.6

29-364

29,432

1402

2676

1.9

1-4 yrs.

74,596

1622

3108

1.9

5-14 yrs.

280,570

1990

4600

2.3

15-18 yrs.

641,857

2077

4427

2.1

19-44

17,251,826

2528

7540

3.0

45-64

24,390,763

3064

14936

4.9

65-69

12,545,685

3159

18235

5.8

70-74

15,700,837

3078

19194

6.2

75-84

21,994,942

2998

19691

6.4

85+

6,490,931

2499

15988

6.4

Total

100,183,155

2787

12160

4.4

What analysis can you make after  graphing your data?

Reference no: EM13837799

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