Which variables are quantitativequalitative which variables


Introduction:

As a healthcare professional, you will work to improve and maintain the health of individuals, families, and communities in various settings. Basic statistical analysis can be used to gain an understanding of current problems. Understanding the current situation is the first step in discovering where an opportunity for improvement exists. This course project will assist you in applying basic statistical principles to a fictional scenario in order to impact the health and wellbeing of the clients being served.

This assignment will be completed in phases throughout the quarter. As you gain additional knowledge through the didactic portion of this course, you will be able to apply your new knowledge to this project. You will receive formative feedback from your instructor on each submission. The final project will be due on week 10.

Scenario:

You are currently working at NCLEX Memorial Hospital in the Infectious Diseases Unit. Over the past few days, you have noticed an increase in patients admitted with a particular infectious disease. You believe that the ages of these patients play a critical role in the method used to treat the patients. You decide to speak to your manager and together you work to use statistical analysis to look more closely at the ages of these patients. You do some research and put together a spreadsheet of the data that contains the following information:

• Client number
• Infection Disease Status
• Age of the patient

You need the preliminary findings immediately so that you can start treating these patients. So let's get to work!!!!

Background information on the Data:

The data set consists of 60 patients that have the infectious disease with ages ranging from 35 years of age to 76 years of age for NCLEX Memorial Hospital. Remember this assignment will be completed over the duration of the course.Review scenario and data set carefully and choose which scenario you would like to work with. Begin Phase 1 of your analysis by including the following information:

1. Introduce your scenario and data set.

o Provide a brief overview of the scenario you are given above and the data set that you will be analyzing.
o Classify the variables in your data set.

- Which variables are quantitative/qualitative?
- Which variables are discrete/continuous?
- Describe the level of measurement for each variable included in your data set.

2. Discuss the importance of the Measures of Center and the Measures of Variation.

o What are the measures of center and why are they important?
o What are the measures of variation and why are they important?

3. Calculate the measures of center and measures of variation. Interpret your results in context of the selected topic.

o Mean
o Median
o Mode
o Midrange
o Range
o Variance
o Standard Deviation

4. Conclusion

o Recap your ideas by summarizing the information presented.

Attachment:- Dataset.rar

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This assignment is solved in excel and prepared in word. It is about the use of various measures of stats to study the dependence of disease on age. It is original work

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4/29/2016 2:16:59 AM

Review the case scenario and data set carefully and select which scenario you would like to work with. Start the phase of your assessment by comprising the given information: 1) Introduce your case-scenario and data set. a) Give a short overview of the scenario you are provided above and the data set which you will be examining. b) Categorize the variables in your data set. • Name the variables which are quantitative or qualitative? • Name the variables are discrete or continuous? • Illustrate the level of measurement for each and every variable comprised in your data set. 2) Describe the significance of the Measures of Center and the Measures of Variation. a) Illustrate the measures of center and explain why they are significant? b) Illustrate what are the measures of variation and explain why they are significant? 3) Compute the measures of center and measures of variation.