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Examine and test the relationships between several variables. Note this requires

Examine and test the relationships between several variables. Note this requires sufficient continuous variables, that are measured at the interval level, or higher. Provide the R codes in the R-script file under the sub-heading Module 5, and the statistical outputs under the sub-heading “Module 5” in the Word file. In general, your statistical outputs should be titled and labeled so that they can stand on their own (and can be understood by anyone who looks at them for the first time).
Produce and export at least one correlation table or correlation chart. A correlation chart is diagnostic, and should not be larger than 5 variables for reporting purposes. Why is this? Provide several sentences describing the key analytical findings.
Produce and export at least one regression table. You may pick your own outcome and predictor variables. How does regression analysis differ from correlation analysis? Provide several sentences discussing the key results.

Examine and test the relationships between several variables. Note this requires

Examine and test the relationships between several variables. Note this requires sufficient continuous variables, that are measured at the Interval level, or higher. Provide the R codes in the R-script file under the sub-heading Module 5, and the statistical outputs under the sub-heading “Module 5” in the Word file. In general, your statistical outputs should be titled and labeled so that they can stand on their own (and can be understood by anyone who looks at them for the first time).
Produce and export at least one correlation table or correlation chart. A correlation chart is diagnostic, and should not be larger than 5 variables for reporting purposes. Why is this? Provide several sentences describing the key analytical findings.
Produce and export at least one regression table. You may pick your own outcome and predictor variables. How does regression analysis differ from correlation analysis? Provide several sentences discussing the key results.

Assignment Overview Select a data set that pertains to a topic of your own inter

Assignment Overview
Select a data set that pertains to a topic of your own interest.
After completing an exploratory data analysis, you should have a good sense of the data as well as specific questions you want to ask of your data or the population as a whole. Often these can be answered through inferential statistics and hypothesis testing. In this assignment, you will identify specific questions you have about the data or population parameters and document your inferential testing of your data.
Assignment Instructions
Using your dataset, and substantive research you have done on this topic, identify at least 2 -3 questions you have about the data. These questions should employ inferential statistics and hypothesis testing to find answers. Then find the answer to the questions using hypothesis testing. Be sure that you use both one-sample and two-sample tests.
For each test, document the hypothesis testing steps and the results at each step. Finally, provide an analysis of the final results with an explanation of your interpretation.
What to Submit
You must submit a 2-3 page report that includes:
Your original questions you explored
Your null and alternative hypothesis (including an explanation of whether it was a one-sample or two-sample test)
Explanation of the hypothesis testing you completed
The results
Your interpretation of the results
Also, submit your R code.

Select a dataset of your own interest, that allows you to perform t-tests. Expla

Select a dataset of your own interest, that allows you to perform t-tests. Explain and justify, why your research question of interest should be a one- or a two-sided test.
For this assignment, please submit your R code, the output, graphs and figures (if any), and your interpretation in a document with a cover page that shows your name, course number, instructor name, and the assignment number.
Should this be a one- or a two-sample test, in other words: are the population parameters given? Why? Think about all the eheuristics that apply to choosing the appropriate test(s).

The Relationship Between Coding and Reimbursement As a healthcare leader, it is

The Relationship Between Coding and Reimbursement
As a healthcare leader, it is important to understand the
relationship between coding and reimbursement. This assignment is designed to
illustrate this relationship using key inpatient and outpatient reporting
documents.
Instructions
Write a 3-page summary that addresses the topics below:
Discuss when or
where the revenue cycle process begins for inpatient and outpatient/ambulatory
services.
Describe how
inpatient charges are captured in an inpatient setting.
Describe how
ambulatory charges are captured in an ambulatory setting.
Describe the
importance of the information in the physician office encounter form.
Analyze the
similarities and differences between the UB-04 and the CMS-1500.
Discuss one reason
a medical claim would be denied?
This course requires the use of Strayer Writing Standards.
For assistance and information, please refer to the Strayer Writing Standards
link in the left-hand menu of your course. Check with your professor for any
additional instructions.
The specific course learning outcome associated with this
assignment is:
Analyze the
importance of coding and classification systems in delivering healthcare
services, regulatory compliance, and reimbursement.

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