Activity: TQM Charting Practice

  This activity consists of two problems. 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         Activity 1 You could look at the total surgeries completed, and about what fraction were late…and you could determine which month had the highest number of surgeries completed. Activity 2 You could determine which year/quarter had the highest number of influenza cases…and when was the least.