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What determines the choice of the alpha level and when do we absolutely have to use a p value of .01 in lieu of .05 in research?
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What determines the choice of the alpha level and when do we absolutely have to use a p value of .01 in
lieu of .05 in research?
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The numb...
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You volunteer some of your spare time to your local fire department and have been asked by an assistant chief to analyze data on firefighters who applied for promotion. The assistant chief wants to ensure that gender bias is not a concern in the promotion of firefighters. Shown below is data for 50 firefighters who applied for promotion and the results of a chi-square analysis of the data.MaleFemalePromoted1322Not Promoted105Chi-Square Statistic3.6845P value0.054919What factors should the assistant chief consider in determining the presence of gender bias in firefighter promotion?Is the promotional status of recently promoted firefighters independent of their gender?What reasons should the assistant chief convey to the fire chief to justify the absence of gender bias in the most recent class of firefighters who were promoted?How might the presence of gender bias in promotions impact the fire department?
HAS 3383CBE Rasmussen College Quality Improvement Plan Memo & Excel Sheet
Competency
Apply statistics to different quality methods in healthcare.
Course Scenario
Chaparral Region ...
HAS 3383CBE Rasmussen College Quality Improvement Plan Memo & Excel Sheet
Competency
Apply statistics to different quality methods in healthcare.
Course Scenario
Chaparral Regional Hospital is a small, urban hospital of approximately 60 beds, and offers the following:
Emergency room services
Intensive care
Surgical care
Obstetrics
Diagnostic services
Some rehabilitation therapies
Inpatient pharmacy services
Geriatric services and
Consumer physician referral services
Recently, the CEO has been hearing complaints from both patients and staff. You have been hired to design and implement a Quality Improvement Plan to help uncover quality problems and satisfactorily resolve them.
Scenario Continued
Your CEO has requested that you provide employee training on Quality Improvement. You have done an initial survey of patient satisfaction, and the CEO has asked you to explain how the data will be analyzed, using this initial data.
Given the variety of complaints coming from both employees and patients, it is critical for everyone to understand the importance of conducting the survey and obtaining solid data.
Instructions
You are to create an agenda for the training and a memo with bullet points to present the statistical analysis of the initial data. The memo should include an explanation of each of the statistical results. In particular, you should be able to explain what the results mean to the facility.
Determine the percentages of the following:
Percent who responded with a 5 (Great) on "Overall impression of the visit"
Percent who responded with a 2 (Fair) or 1 (Poor) on "Overall impression of the visit"
Percent who responded with a 5 (Great) on "Willingness to return"
Percent who responded with less than 5 on "Willingness to return"
In the area of "Facility and Convenience," which indicator had the highest percentage of 5 (Great) responses? Which had the lowest?
In the area of "Staff," which indicator had the highest percentage of 5 (Great) responses? Which had the lowest?
What is the mean waiting time in the reception area?
An agenda can set the tone for a meeting. It is an important tool to ensure meetings are staying on track and meeting all of the objectives. Create a detailed meeting agenda for a meeting you will hold with your supervisor and fellow department heads discussing your findings (Hint: Microsoft Word has many agenda templates).
Make sure to include the following in the agenda:
Explain each statistical example
How that data would be used
The majority of the agenda should be focused on data analysis and its use in QI plans
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Aberystwyth University Forecasting Models for The Rate of Inflation Analysis
Experiential Learning - Forecasting models for the rate of inflation Data The variable PCEP is the price index for per ...
Aberystwyth University Forecasting Models for The Rate of Inflation Analysis
Experiential Learning - Forecasting models for the rate of inflation Data The variable PCEP is the price index for personal consumption expenditures from the U.S. National Income and Product Accounts (NIPA). In this hands-on exercise you will construct forecasting models for the rate of inflation, based on PCEP. For this analysis, use the sample period 1963:Q1–2012:Q4 (where data before 1963 may be used, as necessary, as initial values for lags in regressions). Use the QLR test with 15% trimming to test the stability of the coefficients in the AR(2) model for “the change in inflation” . Is the AR(2) model stable? Explain. Compute the (annualized) inflation rate,Plot the value of Infl from 1963:Q1 through 2012:Q4. Based on the plot, do you think that Infl has a stochastic trend? Explain. Double click in the table below to access to the excel table. Yes, It’s going upward before 1980 and going down afterwards. Its randomly determined. Compute the first four autocorrelations of Plot the value of Infl from 1963:Q1 through 2012:Q4. The plot should look “choppy” or “jagged.”Explain why this behavior is consistent with the first autocorrelation that you computed in part (i) for . Infl 0.823-0.2860.748-0.4420.7190.0920.661-0.00 Compute Run an OLS regression of on . Does knowing the change in inflation this quarter help predict the change in inflation next quarter? Explain.Estimate an AR(2) model for Infl. Is the AR(2) model better than an AR(1) model? Explain.Estimate an AR(p) model for . What lag length is chosen by BIC? What lag length is chosen by AIC?Use the AR(2) model to predict “the change in inflation from 2012:Q4 to 2013:Q1”-that is, predict the value of Use the AR(2) model to predict “the level of the inflation rate” in 2013:Q1—that is, . Use the ADF test for the regression in Equation (14.31) with two lags of to test for a stochastic trend in .Is the ADF test based on Equation (14.31) preferred to the test based on Equation (14.32) for testing for stochastic trend in ? Explain.In (i) you used two lags of . Should you use more lags? Fewer lags? Explain.Based on the test you carried out in (i), does the AR model for contain a unit root? Explain carefully. (Hint: Does the failure to reject a null hypothesis mean that the null hypothesis is true?) Using the AR(2) model for with a sample period that begins in 1963:Q1, compute pseudo out-of-sample forecasts for the change in inflation beginning in 2003:Q1 and going through 2012:Q4. That is, compute:Are the pseudo out-of-sample forecasts biased?That is, do the forecast errors have a nonzero mean?How large is the RMSFE of the pseudo out-of-sample forecasts? Is this consistent with the AR(2) model for estimated over the 1963:Q1–2002:Q4 sample period?There is a large outlier in 2008:Q4. Why did inflation fall so much in 2008:Q4? (Hint: Collect some data on oil prices. What happened to oil prices during 2008?)
New York University Week 9 Expected Monetary Value Discussion
Calculate the EMV for the following scenario. Imagine that you are asked to play the following game with 5 of your friends ...
New York University Week 9 Expected Monetary Value Discussion
Calculate the EMV for the following scenario. Imagine that you are asked to play the following game with 5 of your friends*. Everyone is given a number from 1 to 6, and each person puts in $10. The die is rolled and the lucky person that matches the number that comes up on the dice, gets to keep all the money ($60). Formula: EMV = P(O1)*M(O1) + P(O2)*M(O2)+ . . . + P(On)*M(On)•What is the Expected Monetary Value (EMV) calculation for this game?•Is it a good idea to participate in this game? •Under what circumstances would it, or would it not be, a good idea to participate? * Other than the obvious relationship to running a casino, the scenario is also similar to marketing contexts in terms of calculating the expected monetary value associated with customer relationship management, loyalty programs, etc; that have their associated outcomes and probabilities of outcomes. Attached is the related weekly slides for this HW. Please review it before start.
4 pages
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In almost every decision market analyst make, it is essential to consider some kind of forecast methods. Sound predictions ...
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In almost every decision market analyst make, it is essential to consider some kind of forecast methods. Sound predictions of market trends and demand ...
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i will upload my assignment and I need you to solve it for me with design expert application , and make sure to insert a p ...
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i will upload my assignment and I need you to solve it for me with design expert application , and make sure to insert a picture from itthe results, and make a conclusion for each question
What factors should the assistant chief consider in determining the presence of gender bias in firefighter promotion?, statistics assignment help
You volunteer some of your spare time to your local fire department and have been asked by an assistant chief to analyze d ...
What factors should the assistant chief consider in determining the presence of gender bias in firefighter promotion?, statistics assignment help
You volunteer some of your spare time to your local fire department and have been asked by an assistant chief to analyze data on firefighters who applied for promotion. The assistant chief wants to ensure that gender bias is not a concern in the promotion of firefighters. Shown below is data for 50 firefighters who applied for promotion and the results of a chi-square analysis of the data.MaleFemalePromoted1322Not Promoted105Chi-Square Statistic3.6845P value0.054919What factors should the assistant chief consider in determining the presence of gender bias in firefighter promotion?Is the promotional status of recently promoted firefighters independent of their gender?What reasons should the assistant chief convey to the fire chief to justify the absence of gender bias in the most recent class of firefighters who were promoted?How might the presence of gender bias in promotions impact the fire department?
HAS 3383CBE Rasmussen College Quality Improvement Plan Memo & Excel Sheet
Competency
Apply statistics to different quality methods in healthcare.
Course Scenario
Chaparral Region ...
HAS 3383CBE Rasmussen College Quality Improvement Plan Memo & Excel Sheet
Competency
Apply statistics to different quality methods in healthcare.
Course Scenario
Chaparral Regional Hospital is a small, urban hospital of approximately 60 beds, and offers the following:
Emergency room services
Intensive care
Surgical care
Obstetrics
Diagnostic services
Some rehabilitation therapies
Inpatient pharmacy services
Geriatric services and
Consumer physician referral services
Recently, the CEO has been hearing complaints from both patients and staff. You have been hired to design and implement a Quality Improvement Plan to help uncover quality problems and satisfactorily resolve them.
Scenario Continued
Your CEO has requested that you provide employee training on Quality Improvement. You have done an initial survey of patient satisfaction, and the CEO has asked you to explain how the data will be analyzed, using this initial data.
Given the variety of complaints coming from both employees and patients, it is critical for everyone to understand the importance of conducting the survey and obtaining solid data.
Instructions
You are to create an agenda for the training and a memo with bullet points to present the statistical analysis of the initial data. The memo should include an explanation of each of the statistical results. In particular, you should be able to explain what the results mean to the facility.
Determine the percentages of the following:
Percent who responded with a 5 (Great) on "Overall impression of the visit"
Percent who responded with a 2 (Fair) or 1 (Poor) on "Overall impression of the visit"
Percent who responded with a 5 (Great) on "Willingness to return"
Percent who responded with less than 5 on "Willingness to return"
In the area of "Facility and Convenience," which indicator had the highest percentage of 5 (Great) responses? Which had the lowest?
In the area of "Staff," which indicator had the highest percentage of 5 (Great) responses? Which had the lowest?
What is the mean waiting time in the reception area?
An agenda can set the tone for a meeting. It is an important tool to ensure meetings are staying on track and meeting all of the objectives. Create a detailed meeting agenda for a meeting you will hold with your supervisor and fellow department heads discussing your findings (Hint: Microsoft Word has many agenda templates).
Make sure to include the following in the agenda:
Explain each statistical example
How that data would be used
The majority of the agenda should be focused on data analysis and its use in QI plans
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