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Question of Interest? Can gender be a precipitating factor to determine the length of stay for a MI

Question

Question of Interest? Can gender be a precipitating factor to determine the length of stay for a MI

patient?

What test/analysis technique will you perform?

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Note: (It is highly recommended that you choose ONLY ONE test or technique. Some examples include a t-test, regression)

H0: Gender is a precipitating factor for longer hospital stays in the hospital after an MI or longer hospital stays in the hospital after an MI is independent

Ha: Gender is NOT a precipitating factor for longer hospital stays in the hospital after an MI or longer hospital stays in the hospital after an MI is dependent of gender.

How will your technique(s)/test(s) help you answer your question of interest?

Which specific calculations will you need to perform your test? This may require research) You do not need to perform the calculations at this time; just state which one you will perform

What types of graphs will be useful in explaining your results? Please be specific and include which variable will be used and how they will be broken down.

Some examples include a vertical bar chart showing average age for each eye color, scatter plot with height on the horizontal axis and weight on the vertical axis, etc.

 
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