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 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.
You are currently working at Grady 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!!!!
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 Grady Memorial Hospital.
INSTRUCTIONS;
Using the same data set and variables for your selected topic, add the following information to your analysis:
1. Discuss the importance of constructing confidence intervals for the population mean.
– What are confidence intervals?
– What is a point estimate?
– What is the best point estimate for the population mean? Explain.
– Why do we need confidence intervals?
2. Find the best point estimate of the population mean.
3. Construct two confidence intervals for the population mean: a 95% confidence interval and a 99% confidence interval. Assume that your data is normally distributed and the population standard deviation is unknown.
Please show your work for the construction of these confidence intervals and be sure to format your equations to fit the appropriate form (may need editing here).
4. Write a paragraph that correctly interprets the confidence intervals in context of your selected topic.
5. Compare and contrast your findings for the 95% and 99% confidence intervals.
– Did you notice any changes in your interval estimate? Explain.
– What conclusion(s) can be drawn about your interval estimates when the confidence level is increased? Explain.