Dr. Deasley is a popular Doctor in Tampa, Florida specializing in primary care. Because Dr. Deasley is so popular, he spends a great deal of time with his patients. ?VSB10

The team also believed there was a Motorola shift during the process. Please describe the Motorola Shift and potential causes that they could have experienced the shift.

Conclusion of Measure: Data was taken of as many parameters as possible before changing any variables. It was found that Dr. Deasley was spending more time with his patients than necessary. The process needs to be analyzed based on the data.

Analyze

Please create a Stem and Leaf Plot for the downtimes that we captured from the patient wait times in the waiting rooms.

The data is as follows:

Two different staff members were being used for the Doctor office so we wanted to see if they were acting identically. 25 random samples were taken for each line. We want to see if Assistant 2 performs better than Assistant 1 since she is a new employee. The data for Assistant 2 is as follows:

The historical mean for Line 1 was .0126.

Please state the following:

Line 2 Average

Line 2 Standard Deviation

Null Hypothesis

Alternative Hypothesis

T-Test Statistic

Critical Value

Statistical Conclusion for the null and alternative hypothesis.

Conclusion of Analyze: Data was analyzed to review if different staff members were performing similarly or not. We also wanted to plot the data of the wait times in different methods.

IMPROVE

A team member has been saying since day one that there is a correlation between the Room Availability and the Patient arrival time. Should the team have listened? Construct a scatter diagram and calculate the correlation coefficient to see if she is correct.

The Data is as follows:

Is there strong correlation between temperature and thickness?

IF there is strong correlation, is it positive or negative? (Answer with positive, negative or N/A)

What is the correlation coefficient between the two variables? (Use 6 decimal places)

Discuss the 8 Deadly Wastes (MUDA) of the process.

Create a Fishbone Diagram explaining some of the key Root causes.

Discuss Improvements that you would suggest.

Conclusion of Improve: Optimal settings were also found and a Scatter Plot was created to see correlation. Many improvement suggestions were made.

CONTROL

An I-MR chart was plotted for the Doctor’s office to ensure the specifications were performing as planned and the patients and Doctor’s were satisfied.

Please indicate if the control chart is stable and if any Shewhart Rules have occurred.

A normality test was conducted. Please advise if the data is normal.

A capability study was completed. Please advise if the process is stable and any analysis you find is relevant.

Please complete a Control Plan for the project.

Conclusion of Control: We have taken all data after making many improvements to see if the process is now stable. We will continue to monitor our progress and follow the control plan.

Please make final conclusions of the project.