14 Mar In Milestone Three, you completed a table listing the statistics you were going to complete to investigate your health question. In Milestone Four, you will actually complete these
In Milestone Three, you completed a table listing the statistics you were going to complete to investigate your health question. In Milestone Four, you will actually complete these calculations.
Follow rubric Verbatim
Attached below is rubric and milestone 3
Stat crunch: https://login.pearson.com/v1/piapi/piui/signin?siteid=10529&client_id=eIGhxJPAx04baGpQ2XTxrLZ5tq2LG6Ss&okurl=https:%2F%2Fwww.statcrunch.com%2F
IHP 525 Milestone Four Guidelines and Rubric
Overview: Your task is to help the organization answer their question by critically analyzing the data. You will run descriptive statistics and a statistical test, create a graph, interpret the results, and present the results and recommendations to non-technical decision makers in the form of a data analysis. Keep in mind that it is your job to do this from a statistical standpoint. Be sure to justify your conclusions and recommendations with appropriate statistical support.
Prompt: In Milestone Three, you created a table listing the statistics you were going to complete to investigate your health question. In Milestone Four, you will actually complete these calculations.
Specifically, you must address these critical elements:
I. Data Analysis A. Graphs: In this section, you will use graphical displays to examine the data.
1. Create at least one graph that gives a sense of the potential relationship between the two variables that form your chosen health question. Include the graph and discuss why you selected it as opposed to others.
B. Conduct an appropriate statistical test to answer your health question. C. Explain why this test is the best choice in this context. D. Analysis of Biostatistics: Use this section to describe your findings from a statistical standpoint. Be sure to:
1. Present key biostatistics from the graph(s) and statistical test and explain what they mean. Be sure to include a spreadsheet showing your work or a copy of your StatCrunch output as an appendix.
2. What statistical inferences or conclusions can you draw based on the results of your statistical test, descriptive statistics and graph? Justify your response.
Rubric Guidelines for Submission: You will submit screenshots of the graphs, the completed table from Milestone Three, and 2–4 paragraphs explaining and interpreting these items in a single Microsoft Word document with double spacing, 12-point Times New Roman font, one-inch margins, and using APA format for any citations.
Critical Elements Proficient (100%) Needs Improvement (70%) Not Evident (0%) Value
Data Analysis: Graphs: Graph
Creates a graph that gives a sense of the potential relationship between two variables that form the chosen health question and discusses why this graph was selected over others
Creates a graph that gives a sense of the potential relationship between two variables that form the health question and discusses why this graph was selected over others, but graph is inappropriate, reasons are illogical, or response contains inaccuracies
Does not create a graph that gives a sense of the potential relationship between two variables
20
Critical Elements Proficient (100%) Needs Improvement (70%) Not Evident (0%) Value Data Analysis: Test Conducts appropriate statistical test
accurately to answer chosen health question
Conducts statistical test to answer chosen health question, but response contains inaccuracies or test is not conducted appropriately
Does not conduct appropriate statistical test to answer chosen health question
20
Data Analysis: Best Choice Explains why test is the best choice in this context
Explains why test is the best choice in this context, but explanation is cursory or contains inaccuracies
Does not explain why test is the best choice in this context
15
Data Analysis: Analysis: Biostatistics
Presents graph and statistical test results, including spreadsheet showing work or computer output, and accurately explains what chosen calculations mean
Presents graph and statistical test results, including spreadsheet showing work or computer output, and explains what they mean, but response contains inaccuracies or omits key details
Does not present graph and statistical test results, including spreadsheet showing work or computer output and does not explain what these calculations mean
20
Data Analysis: Analysis: Statistical Inferences
Draws appropriate statistical inferences based on statistical hypothesis test results and graph and justifies response
Draws appropriate statistical inferences based on test results and graph, but does not justify response, justification is illogical, or response contains inaccuracies
Does not draw appropriate statistical inferences or conclusions based on test results and graph
20
Articulation of Response Submission has no major errors related to citations, grammar, spelling, syntax, or organization
Submission has major errors related to citations, grammar, spelling, syntax, or organization that negatively impact readability and articulation of main ideas
Submission has critical errors related to citations, grammar, spelling, syntax, or organization that prevent understanding of ideas
5
Total 100%
- IHP 525 Milestone Four Guidelines and Rubric
- Rubric
,
IHP 525 Milestone Three Table
For this milestone, in order to explore your health question you are investigating, you need to plan what descriptive statistics and statistical test you will need to run, as well as what graph you will need to create.
Step 1: Complete the table below in which you will propose the calculations and graph(s) you will need to perform to answer the health question you are investigating.
|
Question: |
Answer: |
|
What is your health (research) question? |
To what extent does gender influence the length of hospital stays for MI patients? |
|
What are the corresponding null and alternative hypotheses? |
H0: There is no difference in length of stay for MI patients between gender. Ha: There is a statistically difference in length of stay for MI patients between gender. |
|
List the descriptive statistics you will compute, using which variable(s), to help answer your health question. |
1) The mean of number of days spent in hospital for males and females. 2) Standard deviation for number of days spent in hospital for males and females. |
|
What is the name of the statistical test you will use to test your hypothesis and answer your health question? |
Independent samples t-test |
|
What is the formula for your chosen statistical test? |
T = |
|
Why is the statistical test you chose appropriate to answer your health question? Be sure to be clear on how the two variables you described in Milestone Two are used to complete this test. |
Independent samples t-test is appropriate when comparing means of a continuous variable between two groups. In this case, the mean of LOS is compared between males and females. |
|
Which graph(s) (histogram, stem and leaf, boxplot, bar graph, scatterplot) will you use to visualize the answer to your health question? Be specific and include which variables will be used and if the graph will be created for different subgroups of subjects. |
A bar graph is suitable in this case where gender with be in the x-axis and number of days goes to the y-axis. |
Solution
Independent samples t-test can be used in a case where the dependent variable is quantitative and the independent variable is categorical with 2 groups. The mean of number of days spent in hospital (LOS) will be calculated for both groups (males and females) in order to enable computation of the differences. The standard deviation is also calculated for both male and females’ length of stay. The t-statistics will be calculated using the formula given in the table where x-bars and s represents the calculated means and standard deviations for both groups. The critical value of t will be calculated to help in decision making. The degrees of freedom will be calculated to enable determining the critical value. The p-value will also be determined. All these calculations will help in determining whether the null hypothesis will be rejected or not. A bar graph will be computed which enables visual representation of the differences of the two groups (males and females) at a glance.
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