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y varies jointly as x and the cube of z; y=432 when x= 4 and z=3. find the constant variation of k and the variation equation
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Harvard University Practice Patterns of Dr Jones and Smith Excel Project
Question A: In the following question analyze the data.Assume that we have followed two clinicians, Smith and Jones, and c ...
Harvard University Practice Patterns of Dr Jones and Smith Excel Project
Question A: In the following question analyze the data.Assume that we have followed two clinicians, Smith and Jones, and constructed the decision trees in Figure 1.
Use the followingdata
Figure 1:Practice Patterns of Dr. Jones and Smith
1.What is the expected length of stay for each of the clinicians?
2.What is the expected length of stay for Dr. Smith if he were to take care of patients of Dr. Jones?
3.What is the expected length of stay for Dr. Jones if he were to take of patients of Dr. Smith?
Question B: The following data report length of stay (LOS) for 10 patients of Dr. Jones and 10 patients of Dr. Smith. What is the expected outcome (average outcome) for Dr. Smith? What is the expected outcomes if Dr. Jones if he was seeing Dr. Smith's patients? To answer this question, replace each outcome of Dr. Jones with average outcome of same type of patient seen by Dr. Smith. Is Dr. Smith more efficient than Dr. Jones?
Dr. Smith
Patient
Previous MI
CHF
Shock
LOS
1
1
1
0
4
2
1
1
0
5
3
1
0
0
4
4
1
0
1
5
5
1
0
1
4
6
1
0
1
4
7
1
0
1
5
8
0
0
0
2
9
0
0
0
2
10
0
0
0
1
Dr. Jones
Patient
Previous MI
CHF
Shock
LOS
1
1
1
0
5
2
1
1
0
5
3
1
1
0
5
4
1
1
1
5
5
1
0
1
5
6
1
0
1
5
7
1
0
1
5
8
1
0
0
4
9
0
0
0
2
10
0
0
0
2
Question C: In data presented in question B, what is the expected outcome if Dr. Smith sees patients of Dr. Jones?Note that Dr. Smith does not see any patient like patient 4 of Dr. Jones.We need to estimate a synthetic control for this patient.To do so, filter the data for patients of Dr. Smith (this is already done since the data of Dr. Smith is presented separately).Regress length of stay on previous MI, CHF, and Shock.You learned about regression in the first part of this course. Evaluate the regression equation at values corresponding to the condition of patient 8 of Dr. Jones.Use the regression prediction of length of stay to create a synthetic patient for Dr. Smith and calculate the expected outcome for Dr. Smith seeing patients of Dr. Jones.
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Most Popular Content
2 pages
Why do students like/dislike math?
We have different reasons why we hate or like math. As of these days, 70% of the students hate math and the remaining 30% ...
Why do students like/dislike math?
We have different reasons why we hate or like math. As of these days, 70% of the students hate math and the remaining 30% is the one who likes math. Students say they hate math for some reasons, firstly simply because they don’t understand it and they just don’t like numbers. It’s like when they see numbers their life is starting to tear down.
8 pages
Project 3 1
Be sure to include ALL pages of this project (including the directions and the assignment) when you send the project to yo ...
Project 3 1
Be sure to include ALL pages of this project (including the directions and the assignment) when you send the project to your teacher for grading. ...
Harvard University Practice Patterns of Dr Jones and Smith Excel Project
Question A: In the following question analyze the data.Assume that we have followed two clinicians, Smith and Jones, and c ...
Harvard University Practice Patterns of Dr Jones and Smith Excel Project
Question A: In the following question analyze the data.Assume that we have followed two clinicians, Smith and Jones, and constructed the decision trees in Figure 1.
Use the followingdata
Figure 1:Practice Patterns of Dr. Jones and Smith
1.What is the expected length of stay for each of the clinicians?
2.What is the expected length of stay for Dr. Smith if he were to take care of patients of Dr. Jones?
3.What is the expected length of stay for Dr. Jones if he were to take of patients of Dr. Smith?
Question B: The following data report length of stay (LOS) for 10 patients of Dr. Jones and 10 patients of Dr. Smith. What is the expected outcome (average outcome) for Dr. Smith? What is the expected outcomes if Dr. Jones if he was seeing Dr. Smith's patients? To answer this question, replace each outcome of Dr. Jones with average outcome of same type of patient seen by Dr. Smith. Is Dr. Smith more efficient than Dr. Jones?
Dr. Smith
Patient
Previous MI
CHF
Shock
LOS
1
1
1
0
4
2
1
1
0
5
3
1
0
0
4
4
1
0
1
5
5
1
0
1
4
6
1
0
1
4
7
1
0
1
5
8
0
0
0
2
9
0
0
0
2
10
0
0
0
1
Dr. Jones
Patient
Previous MI
CHF
Shock
LOS
1
1
1
0
5
2
1
1
0
5
3
1
1
0
5
4
1
1
1
5
5
1
0
1
5
6
1
0
1
5
7
1
0
1
5
8
1
0
0
4
9
0
0
0
2
10
0
0
0
2
Question C: In data presented in question B, what is the expected outcome if Dr. Smith sees patients of Dr. Jones?Note that Dr. Smith does not see any patient like patient 4 of Dr. Jones.We need to estimate a synthetic control for this patient.To do so, filter the data for patients of Dr. Smith (this is already done since the data of Dr. Smith is presented separately).Regress length of stay on previous MI, CHF, and Shock.You learned about regression in the first part of this course. Evaluate the regression equation at values corresponding to the condition of patient 8 of Dr. Jones.Use the regression prediction of length of stay to create a synthetic patient for Dr. Smith and calculate the expected outcome for Dr. Smith seeing patients of Dr. Jones.
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