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.

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 length of hospital stay for MI patients?

What is the corresponding null and alternative hypotheses?

Null hypothesis: gender does not influence the length of hospital stay for MI patients.

Alternative hypothesis: gender does influence the length of hospital stay for MI patients

List the descriptive statistics you will compute, using which variable(s), to help answer your health question.

Variables are male and female which would be used in determining variance. The graph would depict instance of the MI with respect to both male and female

What is the name of the statistical test that you will use to test your hypothesis and answer your health question?

Summary stats chart

Dot-plot

What is the formula for your chosen statistical test?

The summary is used as there is no specified formulae that is used

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.

The two variables male and female are used in figuring the relationship between the length of hospital stays and gender for the different genders. As much as this does not take into account statistical calculations, this calculations can also be used in the final conclusion. The used test tries to figure out both the variance and summary. The summary and graph used show age length of hospital stay depending on the gender.

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 dot-plot was used in showing a visual reference. A bar graph would also be created to support this information gender would be on the x axis as the dots increases from left to right on the males summary and this statistics varies further when it comes to the women summary.

Step 2: Provide a 1-2 paragraph explanation below as to why you chose the calculations outlined in the table above to explore your health question. Describe what statistics you will compute in order to answer your chosen health (research) question. Be sure to discuss any graphs that you will compute and what information they will provide to help you answer your health question.

In examining the health question and the data that is being computed, it’s evident that this question puts more emphasis on the progressive relationship other than the calculation. To my view I decided that I would determine the instances of MI with relation to the different gender and the length of hospital stays. The health question does not give the relation to each other but rather giving the relationship between gender and the length of hospital patients with MI. with this information, you may determine the statistical calculations which may help in interpreting the instances of MI as per the different gender with their respective percentages. This would be more helpful in supporting the visual graphs which may not have been availed. In disapproving the null hypothesis, the statistics was taken computing the different gender (male and female) (Sadhukhan et al. 2019). This statistical data proved that gender is a variable when it comes to the hospital patient’s diagnosed with MI. the dot plot on the other hand showed increased dots among the female.

References

Sadhukhan, D., Dhar, S., Pal, S., & Mitra, M. (2019). Automated Screening of Myocardial Infarction based on Statistical Analysis of Photoplethysmographic data. IEEE Transactions on Instrumentation and Measurement.

The post 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. appeared first on Versed Writers.

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