Reference no: EM132399765

MTH 310 - Research Statistics - Pima Medical Institute

Research Statistics Assignment

Select ONE of the case studies from one of the Part II: Service Providers Chapters in your textbook (Chapters 3, 4, 5, 6 or 7). Prepare responses to each of the questionswithin the Discussion Questions section applying to your selected case study, as these answers will be wrapped up on question 3 below.

For example, if you were to select the Assistive Living Case Study, you would be reading the case study on Daniella on page 149 in the Chapter and responding to Discussion Questions #1-8 on page150.

Please format your 3-4 page paper to include:
1. Chapter Case study selected
2. Overview/summary of the case study and key concerns regarding care coordination
3. Number and type each question with the response to follow. Each answer should have a thorough response illustrating your use of the theory/content in the chapter as well as your critical thinking about the various options in addressing the care coordination for the individual.
4. Last paragraph of your paper should include lessons learned from this chapter and analysis of the selected case study.
5. Your citations should include your textbook and at least one additional article related to care coordination.

Data Types and Measurement Assignment

Employers often define metrics to measure productivity or effectiveness in the workplace. Examples include the number of patient appointments, total expenses, customer wait time, etc. Answer the following questions using complete sentences based on your current place of employment or a previous employer. Look at the sample assignment to get an idea of the expectations for your responses.

• Identify three activity or productivity metrics from your workplace. They can be your own responsibilities or those of your whole department.

• Classify the data you would need to collect to measure your results. For each metric, state whether the data would be qualitative or quantitative. If quantitative, state whether the data would be discreet or continuous.

• Specify the Level of Measurement of the data collected.

• Pick one of the metrics you identified in step one and discuss how you did, or could, measure the data.

• Identify any potential sources of error in the measurement process. Classify each source of error as either random or systematic.

• Identify one way to reduce or eliminate the measurement errors.

Attachment:- Case Study.rar