+1443 776-2705 panelessays@gmail.com
  

Problem One

Dr. Raymond Hill, Director of Surgery, for Forest Medical Center in Lake Park, Illinois, received some recent statistics concerning data on the surgeries performed in his center during 2019. He was somewhat surprised to see the high number of what is classified as “late surgeries.” He has asked you, a quality analyst, to examine this data.

He requests the following items from you:

1. Create a scatter plot in Excel of the number of late surgeries versus the overall number of surgeries.

2. Create a run chart in Excel for the number of late surgeries and a run chart for the overall number of surgeries for 2019.

3. Create separate control charts in Excel for the number of late surgeries and the overall number of surgeries with a 95% confidence level.  Show all calculations that you use to arrive at these control charts.

4. In a Word document, draw two conclusions regarding these three analyses regarding the late surgeries at Forest Medical Center.

Late Surgeries versus Overall Surgeries

Month

Number of Surgeries

Number of Late Surgeries

January

435

112

February

401

129

March

572

186

April

409

103

May

577

89

June

329

156

July

467

156

August

301

94

September

235

89

October

325

127

November

378

156

December

444

124

Total

4873

1432

Problem Two

Dr. Amanda Guzik, head of infectious diseases for Forest Medical Center in Lake Park Illinois, asks you to analyze the following influenza data that she has collected over five years from cases that were treated at this medical center.

1. Use Excel to create a run chart for the data.

2. Use Excel to create a control chart with a 95% confidence level for this data. Include the mean, the LCL, and the UCL. Show all calculations that you use to arrive at these control charts.

3. In a Word document, draw two conclusions from these charts regarding the influenza cases that the Forest Medical Center had treated.

Submit Word document(s) and Excel file(s) showing your responses and calculations.

Influenza Data by Quarter

Year

Quarter

# of Cases of Influenza Observed

1

1

3452

1

2

346

1

3

483

1

4

3984

2

1

4120

2

2

376

2

3

429

2

4

3583

3

1

4219

3

2

385

3

3

392

3

4

3614

4

1

3568

4

2

439

4

3

326

4

4

4103

5

1

4209

5

2

396

5

3

411

5

4

4008