Comparing Average Annual Percent Of Diabetic Medicare Enrollees Age 65-75 Years Having Hemoglobin A1c Between Maryland And Virginia Savvy Essay Writers

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Comparing Average Annual Percent Of Diabetic Medicare Enrollees Age 65-75 Years Having Hemoglobin A1c Between Maryland And Virginia

NOTE: -THIS IS THE MAIN WORK THAT NEEDS TO BE DONE. THE TOPIC IS “COMPARING AVERAGE ANNUAL PERCENT OF DIABETIC MEDICARE ENROLLEES AGE 65-75 YEARS HAVING HEMOGLOBIN A1c BETWEEN MARYLAND AND VIRGINIA.

– I AM ALSO GOING TO SEND IN AN ATTACHEMENT OF ASSIGNMENT 1 & 2 SO YOU CAN HAVE A CLUE AS TO HOW TO GO ON WITH THIS WORK. THIS IS BASICALLY A GROUP WORK BUT THIS SECTION, WHICH SAYS “STEP #3” IS MY PART.

– I AM ALSO GOING TO SEND IN AN ATTACHMENT OF THE ENTIRE WORK INSTRUCTIONS BUT REMEMBER, THIS PART IS WHAT I NEED DONE WHICH IS THE “QUANTITATIVE ANALYSIS” STEP #3.

– EXCELL IS THE STATISTICAL SOFTWEAR WE ARE GOING TO USE.

ANY QUESTIONS, PLEASE DO NOT HESITATE TO ASK ME VIA MESSAGE. THANKS

TOPIC: Comparing Average Annual Percent of Diabetic Medicare Enrollees Age 65-75 Years Having

Hemoglobin A1c Between Maryland and Virginia

I. Quantitative Analysis

Step #3: Performing Quantitative data analysis design. This is very similar to Individual Assignments 1 and 2 (please look at the instructions for more details).

For this section:

3.1.  Select one of the class data sets

3.2. Identify relevant variables

3.3. Indicate the statistical method you used for your analysis

3.4. Identify the statistical software your team used to run the statistical analysis focusing on EXCEL or RStudio (BONUS points) as the main software (you can use any other software such as SAS, STATA or SPSS, but the master-code will be available only for RStudio)

3.5. Analyze the data, state your conclusions and support them, this section should include:

3.5.1. Hypothesis or research questions with a short paragraph to discuss the issue.

3.5.2.  Research Method for this section first report the table of variables, then define the variables using the example provided in step-by-step instruction.

3.5.3.  Report the software and type of analysis you performed in this section including descriptive table and plots

3.5.4. Discuss your findings

3.5.5. Discussion: for this section, compare your finding with the LR (literature review) you performed in the first section

3.5.6. Recommendations: suggest a few policy recommendations based on your findings and LR.

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