IHP 525 Milestone Two Table
| Information on data set to include in your description | |
| Which variables are you investigating? | |
| Identify each variable as continuous/quantitative or categorical, and list the descriptive statistics that are used to describe that type of variable. | |
| Compute these descriptive statistics for the variables you are investigating and present them here or in a separate table below. | |
| What does each statistic tell you about the data for the given variable? | |
- Assess the collected data. Use this section to lay out the source, parameters, and any limitations of your data. Specifically, you should:
- Describe the key features of your data set. This is where you want to say where the data came from—describe the sample and how the data was collected. Next, define each of your variables—what do they measure about the subjects? Then describe the distribution of each of your variables using the descriptive statistics you computed. Be sure to assess how these features affect your analysis.
- Analyze the limitations of the data set you were provided and how those limitations might affect your findings. Justify your response.
To create the Milestone Two Table, you will first need to identify the variables you are investigating in your dataset. For each variable, specify whether it is continuous/quantitative or categorical. Then, compute the descriptive statistics relevant to each variable and present them in the table. Finally, interpret what each statistic tells you about the data for the given variable.
Here is an example of how you can structure the table:
| Variable | Type | Descriptive Statistics | Interpretation |
|———-|——|————————|—————-|
| Age | Continuous | Mean, Median, Standard Deviation, Minimum, Maximum | The mean age of the sample is X years, with a median age of Y years. The standard deviation indicates the dispersion of ages around the mean. |
| Gender | Categorical | Frequency of each category (Male, Female, Other) | The majority of the sample is male/female/other, with X% falling into this category. |
| Income | Continuous | Mean, Median, Standard Deviation, Range | The average income of the sample is $X, with a median income of $Y. The standard deviation indicates the variability in income levels within the sample. |
Once you have filled in the table with your specific variables and descriptive statistics, you can then proceed to describe the key features of your dataset and analyze the limitations of the dataset. Make sure to justify how these limitations might affect your findings.
If you provide the specific variables and their types, as well as the computed descriptive statistics, I can assist you in formatting the table and providing interpretations for each statistic.
IHP 525 Milestone Two Table
Does Age Affect the Survival (Follow-up Status) of MI Patients?
The question asks if age has an impact on the survival chances of MI patients. MI stands for Myocardial Infarction which is commonly referred to as heart attack (Institute of Medicine, 2010). When people grow older, their body organs become weaker, and their functionality drops. This implies that an older patient’s heart is not as strong as a young person’s and in case of a heart attack, the mortality rate for older people is higher. The long-term survival of patients aged 65 and above with acute myocardial infarction is 65% (Kappagoda & Greenwood, 2012). Age affects the survival of MI patients. Younger patients have greater survival rates than older ones. The younger population is generally healthier and stronger; therefore, they have better chances. Their immunity is also higher and this generally boosts their health (Morrow, 2016). On the contrary, the older population is weaker and has minimal chances of surviving a heart attack.
References
Institute of Medicine (2010). Cardiovascular disability: Updating the social security listings. The National Academies Press.
Kappagoda, C. & Greenwood, P. (2012). Long-term management of patients after myocardial infarction. Springer.
Morrow, D. (2016). Myocardial infarction: A companion to Braunwald’s heart disease. Elsevier Health Sciences.
"Place your order now for a similar assignment and have exceptional work written by our team of experts, guaranteeing you "A" results."
