Description
-
To win a prize at the fair, you need to hit the bullseye once with a bow and arrow. Your probability of
success is only p = 0.2 per shot. You get three shots; if you hit the bullseye, you stop shooting. Let X
be the number of shots taken, and Y indicate winning the prize (Y = 1 for success, Y = 0 for failure.)
X and Y have joint PMF:
PX,Y x=1 x=2 x=3
y = 0 0.00 0.00 0.512
y = 1 0.20 0.16 0.128
- (a) Calculate PX,Y|B(x,y), where B = {X > 1}. What “experiment” does this describe?
- (b) Calculate E[X|Y = 1].
- (c) CalculatePY|X(y|2)andexplainit’sbehavior.
- (d) Calculate σX|Y=1 and σX|Y=0 and interpret their values.
- (e) Suppose you didn’t know the probability p. If you were given E[X], could you determine p from it? What about if you were given E[X|Y = 0] or E[X|Y = 1]?
- X is a discrete random variable. Let Y = aX +b. Show that if a > 0, ρ(X,Y) = 1, and that if a < 0, ρ(X,Y) = −1.
-
Prove that |ρ(X,Y)| ≤ 1 for any (discrete) X and Y.
Hint: calculate the variance of Z = X ± Y , and use the fact that variance must be nonnegative.
σX σY
- Domino’s Pizza delivery times (X) are continuously and uniformly distributed between 30 and 40 minutes. Little Caesar’s Pizza delivery times (Y ) are continuously and uniformly distributed between 20 and 50 minutes. X and Y are independent, so that fX ,Y (x, y) = fX (x) fY (y). Suppose you simultaneously order from both. What is P(X < Y ), the probability that Domino’s delivers first?
-
Suppose, at your bus stop, “local” buses have a mean wait time of 10 min, such that the time you wait
for a local bus L is an exponential random variable with μL = 10 min. “Express” buses have a mean
wait time of 30 min; the express-bus wait time X is an exponential random variable with
μX = 30 min. The bus schedules are not coordinated, so X and L are independent.- (a) What is the joint PDF fL,X(l,x)?
- (b) What is the probablility that the first bus to arrive is a local one; that is, P(L < X )?
- (c) Suppose the travel time to your job is 30 minutes on the local bus, and 20 minutes on the express bus. If you always get on the first bus to arrive, what is the expected time of your commute, include time spent waiting at the bus station?
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Part 2 peer video:
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This exercise allows you to examine ho ...
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This exercise allows you to examine how the quality of hospital care is evaluated through data obtained from electronic health records. This exercise is discussed in several health administration courses, including courses on quality improvement, informatics, or statistics. In practice, the need to analyze these types of data arises in improvement teams, where managers, clinicians and sometimes patients work together to systematically improve healthcare processes.
You can find the solution here and here.
Part 1: In this assignment, you are asked to examine if prophylactic antibiotics are discontinued within 24 hours after the end of surgery. Instead of providing you with the data, we ask that you download the data on the web so that you learn more about the source of the data and the peculiar organization of the data. Hospital Compare provides information on many quality indicators. In this assignment, you are asked to focus on the failure to stop the use of antibiotics post-surgery. The Hospital Compare web site provides the following rationale for why this measure of quality is helpful: "A goal of prophylaxis with antibiotics is to provide benefit to the patient with as little risk as possible. It is important to maintain therapeutic serum and tissue levels throughout the operation. Intra-operative re-dosing may be needed for long operations. However, the administration of antibiotics for more than a few hours after the incision is closed offers no additional benefit to the surgical patient. Prolonged administration does increase the risk of clostridium difficile infection and the development of antimicrobial-resistant pathogens." To complete this assignment complete the following tasks:
a.Download Hospital Compare data for the years starting from 2015 till now.Merge the file "HQI_HOSP_TimelyEffectiveCare" across all databases for different years.
b.Select measure ID "SCIP_INF_3"; this measure refers to prophylactic antibiotic use. Select to work with data from "Southeast Alabama Medical Center"; this is provider ID "010001".
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You can find the solution here Click for more options.
The student peer video shows that data across the years us merged using SQL. You can do the same merger without using SQL. Open the CSV files (you can ignore access files for old years.) Filter the data by the measure you are interested in Copy the sheet with the relevant filtered data from each CSV file into a single sheet within the new Excel file. In a sheet titles "ALL" inside the Excel file, use cell reference to bring the data in different sheets to the "ALL" sheet. Do your analysis on this sheet.
Part 2: Nursing home and hospital administrators implement many initiatives to reduce falls.This problem shows how these initiatives can be measured and evaluated. Prepare a risk-adjusted control chart fordata Click for more options
on falls in a nursing home
Please use the following peer video as a reference for this assignment.You can find the solution here Click for more options.
Part 3: The following data were obtained on post-surgical infection rates.Are we having more infections than expected from the patients' conditions?
You can find the solution here Click for more options.
Week
Risk of Infection for each Patient
Number Infected
1
0.9
0.8
0.7
0.8
0.9
0.85
6
2
0.7
0.8
0.7
0.6
0.8
0.9
5
3
0.8
0.95
0.92
0.87
4
4
0.5
0.6
0.66
0.67
3
5
0.3
0.4
0.5
0.4
0.5
0.34
2
6
0.3
0.4
0.5
1
Part 4: Download Hospital Compare data.In these files, the denominator indicates the number of patients.Whether the hospital had above average payments are reported in different fields: [Compared to National], [Category], and [Payment Category]
Select data that meet the following conditions:
a.Select the "PAYM_30_AMI" measure
b.Select hospitals that in the denominator do not have "Not Available".
Construct a control chart showing the probability of change over time.
To assist, we have downloaded some of the necessary files.You can add to these additional more recent files from the Hospital Compare site.Since the data on AMI payments does not change in the files, you can save time and read only the following files into a new database:
File
Database
Field
Start
End
HQI_HOSP_AMI_Payment
HOSArchive_20150122
Compared to National
2010
2013
HQI_HOSP_Payment
HOSArchive_20150716
Category
2011
2014
HQI_HOSP_PaymentAndValueOfCare
HOSArchive_20161110
Payment Category
2012
2015
Include other data for more recent years after 2016
Some of you do not have Microsoft Access. Early files in Hospital Compare used Microsoft Access and later files used CSV (a file format that opens with Excel.) To remedy this situation, I am replacing Microsoft Access files with Excel Files. If you have to look at only AMI quality measures you need to use the filter feature within Excel.
Use these files:
HQI_HOSP_PaymentAndValueofCare20161110
HQI_HOSP_AMI_Payment20150122
HQI_HOSP_Payment20150716
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Testing for Correlation and Bivariate Regression
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Harvard University Wk 7 Find the Risk of Infection for Each Patient Excel Task
Part 2 peer video:
https://www.youtube.com/watch?v=y6ZlpCAPQpg&feature=youtu.be
This exercise allows you to examine ho ...
Harvard University Wk 7 Find the Risk of Infection for Each Patient Excel Task
Part 2 peer video:
https://www.youtube.com/watch?v=y6ZlpCAPQpg&feature=youtu.be
This exercise allows you to examine how the quality of hospital care is evaluated through data obtained from electronic health records. This exercise is discussed in several health administration courses, including courses on quality improvement, informatics, or statistics. In practice, the need to analyze these types of data arises in improvement teams, where managers, clinicians and sometimes patients work together to systematically improve healthcare processes.
You can find the solution here and here.
Part 1: In this assignment, you are asked to examine if prophylactic antibiotics are discontinued within 24 hours after the end of surgery. Instead of providing you with the data, we ask that you download the data on the web so that you learn more about the source of the data and the peculiar organization of the data. Hospital Compare provides information on many quality indicators. In this assignment, you are asked to focus on the failure to stop the use of antibiotics post-surgery. The Hospital Compare web site provides the following rationale for why this measure of quality is helpful: "A goal of prophylaxis with antibiotics is to provide benefit to the patient with as little risk as possible. It is important to maintain therapeutic serum and tissue levels throughout the operation. Intra-operative re-dosing may be needed for long operations. However, the administration of antibiotics for more than a few hours after the incision is closed offers no additional benefit to the surgical patient. Prolonged administration does increase the risk of clostridium difficile infection and the development of antimicrobial-resistant pathogens." To complete this assignment complete the following tasks:
a.Download Hospital Compare data for the years starting from 2015 till now.Merge the file "HQI_HOSP_TimelyEffectiveCare" across all databases for different years.
b.Select measure ID "SCIP_INF_3"; this measure refers to prophylactic antibiotic use. Select to work with data from "Southeast Alabama Medical Center"; this is provider ID "010001".
c.Calculatethe rate of overuse of antibiotics.In these data, the field "Score" refers to the number of patients with overuse of antibiotics.The field "Sample" refers to all selected surgical patients with no evidence of prior infection. The ratio of Score to Sample provides the rate of overuse of antibiotics.
d.Construct a control chart showing the rate of overuse of prophylactic antibiotics over time in Southeast Alabama Medical Center.Download the needed data using the following databases (if new data is available, please use them)
You can find the solution here Click for more options.
The student peer video shows that data across the years us merged using SQL. You can do the same merger without using SQL. Open the CSV files (you can ignore access files for old years.) Filter the data by the measure you are interested in Copy the sheet with the relevant filtered data from each CSV file into a single sheet within the new Excel file. In a sheet titles "ALL" inside the Excel file, use cell reference to bring the data in different sheets to the "ALL" sheet. Do your analysis on this sheet.
Part 2: Nursing home and hospital administrators implement many initiatives to reduce falls.This problem shows how these initiatives can be measured and evaluated. Prepare a risk-adjusted control chart fordata Click for more options
on falls in a nursing home
Please use the following peer video as a reference for this assignment.You can find the solution here Click for more options.
Part 3: The following data were obtained on post-surgical infection rates.Are we having more infections than expected from the patients' conditions?
You can find the solution here Click for more options.
Week
Risk of Infection for each Patient
Number Infected
1
0.9
0.8
0.7
0.8
0.9
0.85
6
2
0.7
0.8
0.7
0.6
0.8
0.9
5
3
0.8
0.95
0.92
0.87
4
4
0.5
0.6
0.66
0.67
3
5
0.3
0.4
0.5
0.4
0.5
0.34
2
6
0.3
0.4
0.5
1
Part 4: Download Hospital Compare data.In these files, the denominator indicates the number of patients.Whether the hospital had above average payments are reported in different fields: [Compared to National], [Category], and [Payment Category]
Select data that meet the following conditions:
a.Select the "PAYM_30_AMI" measure
b.Select hospitals that in the denominator do not have "Not Available".
Construct a control chart showing the probability of change over time.
To assist, we have downloaded some of the necessary files.You can add to these additional more recent files from the Hospital Compare site.Since the data on AMI payments does not change in the files, you can save time and read only the following files into a new database:
File
Database
Field
Start
End
HQI_HOSP_AMI_Payment
HOSArchive_20150122
Compared to National
2010
2013
HQI_HOSP_Payment
HOSArchive_20150716
Category
2011
2014
HQI_HOSP_PaymentAndValueOfCare
HOSArchive_20161110
Payment Category
2012
2015
Include other data for more recent years after 2016
Some of you do not have Microsoft Access. Early files in Hospital Compare used Microsoft Access and later files used CSV (a file format that opens with Excel.) To remedy this situation, I am replacing Microsoft Access files with Excel Files. If you have to look at only AMI quality measures you need to use the filter feature within Excel.
Use these files:
HQI_HOSP_PaymentAndValueofCare20161110
HQI_HOSP_AMI_Payment20150122
HQI_HOSP_Payment20150716
Testing for Multiple Regression
Using the SPSS software, open the Afrobarometer dataset or the High School Longitudinal Study dataset (whichever you choos ...
Testing for Multiple Regression
Using the SPSS software, open the Afrobarometer dataset or the High School Longitudinal Study dataset (whichever you choose) found in the Learning Resources for this week.
Based on the dataset you chose, construct a research question that can be answered with a multiple regression analysis.
Once you perform your multiple regression analysis, review Chapter 11 of the Wagner text to understand how to copy and paste your output into your Word document.
Write a 1- to 2-page analysis of your multiple regression results for each research question. In your analysis, display the data for the output. Based on your results, provide an explanation of what the implications of social change might be.
Part 2
Using the SPSS software, open the Afrobarometer dataset or the High School Longitudinal Study dataset (whichever you choose) found in this week’s Learning Resources.
Consider the following:
Create a research question with metric variables and one variable that requires dummy coding. Estimate the model and report results. Note: You are expected to perform regression diagnostics and report that as well.
Write a 2- to 3-page analysis of your multiple regression using dummy variables results for each research question. In your analysis, display the data for the output. Based on your results, provide an explanation of what the implications of social change might be.
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