Choose one of the following health care organizations:

  • Hospital Corporation of America (HCA)
  • Tenet Health System
  • Mayo Clinic
  • Henry Ford Health System
  • Centers for Disease Control (CDC)
  • Children’s Miracle Network
  • Deborah Heart and Lung Center
  • Medtronic
  • Veterans Health Administration (VHA)
  • National Institutes of Health (NIH)
  • Planned Parenthood
  • Indian Health Service (IHS)
  • Health Markets

Conduct an evaluation of the organization based on strategic planning analysis, which includes the strengths and/or weaknesses that are internal to the organization and opportunities and/or threats external to the organization.  Your strategic plan analysis must include at least three strengths and three weaknesses that are internal to the organization and at least three opportunities and three threats that are external to the organization. You must utilize at least five valid sources in your analysis. Examples of valid sources include organizational websites, annual reports, personal interviews with organizational leadership, investigative reports, government reports, and conference transcripts.  Your Final Paper must address at least five key areas, concepts, and strategies that are outlined in the course text.  These include:

  • Internal and external assessments
  • Competitive marketing analysis
  • Identification of stakeholders
  • Overview and assessments of services provided
  • Competencies and resource
  • Public entities and regulatory requirements
  • Demographics served
  • Strategic financial planning
  • Financial and operational outcomes
  • Current and future direction of the organization of choice

Writing the Final Paper

The Final Paper:

  1. Must be 8 to 10 double-spaced pages in length, excluding the title and references pages, and formatted according to APA style as outlined in the Ashford Writing Center.
  2. Must include a title page with the following:
    • Title of paper
    • Student’s name
    • Course name and number
    • Instructor’s name
    • Date submitted
  3. Must begin with an introductory paragraph that has a succinct thesis statement.
  4. Must address the topic of the paper with critical thought.
  5. Must end with a conclusion that reaffirms your thesis.
  6. Must use at least five scholarly sources, including a minimum of two from the Ashford University Library.
  7. Must document all sources in APA style as outlined in the Ashford Writing Center.
  8. Must include a separate reference page that is formatted according to APA style as outlined in the Ashford Writing Center.

Scenario
You are the Project Manager in a large healthcare facility for Be Well Health System. The organization consists of 3 hospitals and 15 clinic/specialty facilities that were acquired over the past 10 years as part of the company’s growth strategy. While the sites are part of the Be Well Health System, many operate independently as they did before the acquisitions.
This strategy has worked well for the organization. Given the changing environment of the healthcare industry, Be Well’s executive team wants to make sure the organization is not growing too fast or stretching their resources too thin and impacting patient care or service. They know other organizations are working to consolidate and standardize their business operations and realize they will need to do the same to remain competitive.
The executive team would like to put together a strategic workgroup with representatives and key stakeholders from all the sites to start exploring how a consolidated organization might look and function successfully for all the sites. You know the group will have a lot of work to do, and in order to be successful, it is important that the right team of people is selected for the workgroup.
You have been asked to provide the group with information about how to identify the skills needed for this new workgroup, build the team, and develop staff so they are successful. You also know that not everyone understand the differences between the principles of management and strategic management, so you plan to start by presenting that information to the group.

You know that once the executive committee selects the workgroup participants, their work is just starting. Making sure that the team functions well and can come to consensus on key issue will be the determining factor of their success.
Write a 1 page paper on team building and consensus strategies. 

Provide your evaluation of team building strategies and select one to propose to the executive committee that would work well for this case scenario. Remember that employees are not currently co-located and bringing people in town for meetings can be an expensive option that will not always be available.
Provide your evaluation of consensus strategies and select one to propose to the executive committee that would work well for this case scenario. Take into consideration that work group participants may have different tiles and job rank, so you want the group to be able to naturally come to a consensus when faced with difficult issues rather than defaulting to higher level positions pulling rank over the group.

APA formatting must be used for all written assignments. This includes title page, formatting and references along with in text citations. A minimum of 2 references must be used.

Culminating Project for Data Driven Decision Making I
 
 
 
 
 
 
 
Getting Started with Data Driven Decision Making: A Workbook
 
 
 
 
 
 
Directions 1
Introduction 2
Worksheets
1. D e f i ne Y ou r A c t i on Q ue s t i on 3
2. Wh a t Does Th i s Question M ean T o Y ou r O r ga n iz a ti on? 5
3. H o w Wil l Y o u K n o w W h a t t h e Right Metr i c s Ar e? 6
4. What Could You Measure? 7
5. Wha t D a ta Do Y o u H a v e ? 9
6. F in d The Metr i c s That M a k e S e n s e Fo r Y ou 10
7. The M et r ic C r ea t ion P r ocess 11
8. D e f i ne a P ro c e s s f o r Us i ng Th e m to M a k e D e c i s i ons 12
9. Create an Implementation Action Plan 13
10. Action Plan 15
 
 
 
 
Could you use more help thinking through how to use data to help your organization make decisions? If so, you’re not alone. Recent reports on how organizations are using data has shown that although most are relying heavily on data, a number are doing very little to measure their work.
 
Measuring may not be as difficult as you suspect. Experts agree that simply starting to track a few strategic metrics is a huge step toward a more data based decision making based culture. Once an organization has data that they can use to make decisions, they will often start to want more. A few, straightforward metrics can start the snowball rolling.
 
Getting started with data driven decision making isn’t a trivial process, however. What metrics will be useful and actionable—but, not require a ton of time to collect and understand? How do you define and communicate data in order for your organization to make decisions? This workbook will help you to start applying what you have learned in this course, and will also help you to start answering critical questions.
 
Starting with a question of interest that you want to explore, either in your current organization or a future organization that you want to work with, this workbook will guide you through the process of using DDDM. You will start with the first worksheet and proceed in order through the entire workbook. The workbook will walk you through the process of choosing and refining initial metrics, defining how you will collect the data, and explaining how to disseminate that data for decision making.
 
Don’t feel overwhelmed by data. The journey to data-based decision making, like any, begins with the first step. In this case, you will begin with the first worksheet. Once you start defining the metrics that will help your organization, you may find that it’s easier than you thought!
 
After all of the workbook pages are complete, you submit the completed version into the appropriate Dropbox.
 
 
Introduction
 

Create an introduction section where you should fully describe the organization, your role, and the overall area of concern (Minimum requirement: 250 words).

 
 
 
 
 
 
 
 
 
 
 
14
 

This workbook is designed to help you hone some of the metrics that will be practical and meaningful for you in a particular area. To focus your efforts more productively, start by identifying the general area you want to explore in more detail. Choose an item from the box to the right that resonates with you, or define your own based on a topic your organization is most interested in.

 

What’s an area you want to explore?

 
 
 
 
 
 
 
 
 
Now, define a particular action question within that area. It’s not going to be easy—your action question must be specific enough to be measurable and to help you decide how to move forward, but also important enough to really matter to your organization. Let’s start by brainstorming.
 

What are some tactical questions you’d ideally like to be able to answer in this area that would help your organization improve?

 
 
1.
 
 
2.
 
 
3.
 
 
4.
 
 
5.
 
 
POSSIBLE ORGANIZATIONAL AREAS FOR EXPLORATION
 
· Recruiting clients
· Efficiency of a process
· Projecting future income
· A specific program
· Annual campaign
· Facebook outreach
· Email list-building
· Staff development
· Staff recruitment
… Or choose your own
 
 
 
 
 
 
 
 
 
WHAT MAKES A GOOD QUESTION?
 
Stumped as to the type of question we’re looking for? Try to think of something that will help your organi- zation improve and that you can have an impact on—but that can also be tested and measured. For example, “How can we improve fundraising?” is too broad—it’s not easy to pin down what you would specifically do to affect or measure it. “What’s our email open rate?” is too narrow and it’s not clear how it relates to organization goals. Look for a question that’s both important and detailed enough to be testable, such as “Is our blog worth the time we spend on it?” or “How can we improve program attendance?”
 
Let’s drill a little more deeply into those questions. Refer to the questions you defined above by number.
 

QUESTION Will the answer to this question help you improve as an organization? Will your actions as an organization affect the answer to this question? Can numbers help you answer the question? (If yes, which KPI is useful? Is the question testable? Can you create a hypothesis about a potential answer, and then test it?
  Yes/ No Why or why not? Yes/ No Why or why not? Yes/ No Why or why not? Yes/ No Why or why not?
1.                
2.                
3.                
4.                
5.                

 
 
 
 
Think through the answers you gave above. For one or more of the questions, were you able to answer “Yes” in all of the boxes? If so, pick one of those questions to explore with this workbook, or combine multiple questions together to define one overarching question. (Note that if you combine multiple questions into one, you need to plug it into the table above to make sure it fits all the criteria.) You must end up with an action question that will be the framework for the rest of this workbook.
 

Write your single action question here:

 
 
 
 
 
Did you answer “No” to at least one of the criteria for all of your questions in the table above? If so, those questions will be difficult to answer using metrics. Brainstorm some other questions that are important but also measurable to get to a place where you can define an action question that will be the framework for the remainder of this workbook.
 
 
2. What Does This Question Mean To Your Organization?
 
 
 

What would different people in your organization want to know about this question in terms of how it affects their own jobs? How much does each person care about the information at all? It’s likely that there are a number of different perspectives about it. Not sure what people would like to know? Ask them…

 
In the mock organization chart below, do two things:
· In the small box in the upper left, define how important the information would be to each type of role in your organization (High, Medium, or Low).
· In the larger space in each box, list some of the key pieces of information that a person in that role in particular might be interested in seeing. Don’t worry about what’s possible or practical just yet, simply brainstorm what they’d ideally like to see.
 

FOR EXAMPLE                  
High Owner            
· Summary of attendance numbers
· High level of demographics
           
                     
                     
             
                     
                     
             

 
 
Now that you’ve thought that through, do a reality check: Do other people care about this question too? If you’re the only person who really cares, is it an important question for your organization?
 
 
 
 
 
 

Soon we’ll define metrics to help you answer your question. Metrics provide a numerical yardstick to help you determine whether your efforts are making a difference—and if so, in what direction. Before we go too far down that road, think through how you’ll judge whether the metrics will actually help you define what you really want to know.

 
There are different ways to think about this. Answer the questions below – this step will help you make the most sense of your overall action question. Write a brief description of what success will look like in this process.
 
 
1. What specific decisions do you want to be able to make based on the answer to your question?
 
 
 
 
 
 
 
 
 
2. What things will you need to understand in order to feel you have real knowledge to address your question?
 
 
 
 
 
 
 
 
 
 
3. Will any answer to your question feel like success, or will you need to achieve a specific result to feel successful?
 
 
 
 
 
 
 
 
 
 
 
 
 
 

There are a lot of different things you could measure for any given thing. Brainstorm the different actions you could take that might have an impact on your overall question and the metrics you could use to measure it. A metric is a number—often a KPI, a count, or a percentage—that measures your success in an area.

 

1. WHAT ACTIONS COULD YOU TAKE THAT WOULD HAVE AN IMPACT ON YOUR ACTION QUESTION?
Action What metric could you use to measure this?
At least one KPI should be used.
Who has the ability to affect the measurement? Is it something you could change through your actions? If you were to measure this, how many people in your organization would care? To what extent would seeing a measurement for this help you improve your organization? To what extent would your org’s actions quickly result in a change to the measurement? Now sum up the last three columns to create a Usefulness Score
  For instance,
# participants,
% satisfaction,
# Units provided.
Who?
And, Answer Yes or No about self.
1= Almost No One
5= The Whole Organization
1= Only slightly
5= Completely transformed
1= Very hard to see change
5= Actions visibly change metric almost immediately
 
             
             
             
             
2. WHAT ACTIONS COULD YOUR CONSTITUENTS TAKE THAT WOULD AFFECT YOUR ACTION QUESTION?
Action What metric could you use to measure this?
At least one KPI should be used.
Who has the ability to affect the measurement? Is it something you could change through your actions? If you were to measure this, how many people in your organization would care? To what extent would seeing a measurement for this help you improve your organization? To what extent would your org’s actions quickly result in a change to the measurement? Now sum up the last three columns to create a Usefulness Score
  For instance,
# participants,
% satisfaction,
# Units provided.
Who?
And, Answer Yes or No about self.
1= Almost No One
5= The Whole Organization
1= Only slightly
5= Completely transformed
1= Very hard to see change
5= Actions visibly change metric almost immediately
 
             
             
             
             

 
 
 

3. WHAT ACTIONS COULD OTHER PEOPLE TAKE THAT WOULD AFFECT YOUR ACTION QUESTION EVEN IF THEY AREN’T IMMEDIATELY ASSOCIATED WITH YOUR ORGANIZATION?
Action What metric could you use to measure this?
At least one KPI should be used.
Who has the ability to affect the measurement? Is it something you could change through your actions? If you were to measure this, how many people in your organization would care? To what extent would seeing a measurement for this help you improve your organization? To what extent would your org’s actions quickly result in a change to the measurement? Now sum up the last three columns to create a Usefulness Score
  For instance,
# participants,
% satisfaction,
# Units provided.
Who?
And, Answer Yes or No about self.
1= Almost No One
5= The Whole Organization
1= Only slightly
5= Completely transformed
1= Very hard to see change
5= Actions visibly change metric almost immediately
 
             
             
             

 
 
 
 
Based on the rows where you have indicated the highest total score in the right hand column (and your gut reaction to how well the total score reflects reality), choose six that seem promising for exploring your action question . For each, copy the Metric, from the second column, and the overall sum for that row into the table below.
 
 

Metric – Describe the metric fully Sum (Usefulness Score)
   
   
   
   
   
   
   

 
 
 

 
 
 
 
 

The next step in this process is to identify the data sources for the metrics you’ve said you’d like to track (if you can’t collect the data, then you won’t be able to track that metric). For each of the six metrics you defined on the previous page, think through the data you have (or can collect) that relates.

 

Metric (from previous worksheet). What related data is currently manually entered into a system? What related data is automatically tracked by a system? What additional relevant data about actions, perceptions, or processes could be collected that is not currently collected? What related data could you get from other organizations or public sources? Where could you get it? Looking across what you’ve written for each column, score the overall ease of collecting data to get this metric.
1 = Would require vast new investment
10 = Already have it
           
           
           
           
           
           

 
 
 
 
 
 
 
You’ve rated the usefulness of each metric (in Worksheet Four), and the difficulty of getting the data (in Worksheet Five). Now plot each metric using those two scores.
 
15
 
14
 
13
 
12
 
11
 
10
 
9
 
8
 
7
 
6
 
5
 
4
 
3
 
2
 
1
 
 
0 1 2 3 4 5 6 7 8 9 10
 
EASE OF COLLECTING DATA
 
 
 
It likely makes sense to start with the metric that is closest to the top and right of the plot. Choose one metric (or a small number) that will provide you the biggest bang for the buck. As you grow comfortable with that metric, you may want to add more that also seem useful into the mix.
 
What Metric will you start with?
 
 
 
 
HOW TO PLOT YOUR METRICS
If your metric had a sum of 6
according to worksheet four, and a score of 5 according to worksheet five, then you’d plot that metric like this example.
 
 
7
 
6
 
 
5 6
 
 
 
 
 
 

Even if the data is readily at hand, the metrics won’t create and distribute themselves. It’s important to map out the flow of how the data will become an accurate metric—both to make sure you’ve thought it through, and to acknowledge the actual work that will be required to ensure success. Think through this process for your metric.

 
Data Sources?
 
 
How is this data entered into a system?
 
 
What’s the incentive to ensure it’s entered?
 
 
Where is it stored?
 
 
Who creates the metric from the data?
 
 
Who distributes it?
 
 
Who’s in charge of this whole process?
 
 
 
How will you spot check to ensure the metric accurately reflects reality?
 
 
 
 
 
 
 

You not only need a process for creating your metrics—you need a process to actually use them. This is one of the most critical steps.

 
 
How frequently will you create the metrics?
 
 
Who will they be distributed to?
 
 
 
In what meetings will they be used?
 
 
How frequently will you plan to adjust your actions based on what the metrics say?
 
 
What decisions shouldn’t be made without them?
 
 
How frequently will you check in on whether the metrics themselves are an effective way to measure? and What you’re trying to measure?
 
 
 
 
 
 

Congratulations! You’ve defined a strategy to create and use metrics to measure a core question for your organization. But a strategy is one thing, and implementation is

another. To speed you on your way to a successful rollout of your metrics, think through the implementation steps.
 
 
People You’ll Need to Get Onboard
Who are the core individuals who will need to buy in? Think through both the official people who need to be onboard and the other people who might become barriers if they’re not included. List them below. Then think through the right way to include them in the process: Email? Presentation? Discussion?
 
 

Person or Group Method of Including Them
   
   
   
   
   
   

 
 
 

Processes You’ll Need to Define

On the previous worksheets, did you define processes for collecting, analyzing, or distributing metrics that need to be more fully fleshed out? If so, define what they are and how you’ll put more detail around them. Maybe another meeting? More documentation? A larger project?
 
 

Process Method of Defining
   
   
   
   
   
   

 
 
 
 

Things You’ll Need to Allocate a Budget For

Have you defined a process that involves things that you don’t already have? For example, a survey tool, a bar code scanner, a new staff member, or maybe a consultant to think it all through? Itemize anything new that needs to be paid for, and what process you’ll need to go through to select and purchase the product.
 
 

Item to Buy Purchase Process
   
   
   
   
   
   

 
 
 

Other Things You’ll Need to Make Happen

Are there other things that need to happen before you can move forward? List them here along with useful details.
 
 

Additional Step Details
   
   
   
   
   
   

 
 
 
 
Those are your next steps–but they’re probably not in the right order.
 
Go back through that list and decide what you should do first: Talk to some people? Define a process? Put a number 1 next to that step. Determine what’s next and put a number 2 next to it. Continue through the whole list until you have an entire action plan in approximately the correct order.

And then… go start with the first item on your list

 
Action Plan
 

Please offer a clear and concise implementation plan (Minimum requirement: 350 words).

Discussion 2: Social Work in Palliative Care
Palliative care refers to specialized medical care that focuses on providing relief from physical symptoms and improving the quality of life of patients and caregivers. Palliative care can be provided to patients with any medical condition at any stage of illness to relieve symptoms. It can be a patient’s primary treatment (which is often the case with end-of-life care), or it can be provided in combination with standard medical treatments. Palliative care team members work alongside a patient’s medical team and can include professionals from multiple disciplines, including doctors, nurses, social workers, and chaplains.
To prepare for this Discussion:
Review this week’s resources. Think about the circumstances, timing, payment, and other features related to palliative care.
Question
Post a description of perceptions of palliative care from the perspective of a:
· Patient
· Caregiver
· Social worker
Then, explain the roles of social workers in providing palliative care. Compare and contrast the fundamental differences between palliative care and hospice care. Explain medical conditions where you might consider palliative care over hospice care for a patient. Justify your position. Use examples to illustrate your case.
Be sure to support your postings and responses with specific references to the resources and the current literature using appropriate APA format and style.
Resources
1) Gehlert, S., & Browne, T. (Eds.). (2019). Handbook of health social work (3rd ed.). Hoboken, NJ: Wiley.
· Chapter 22, “Pain Management and Palliative Care” (pp. 525-562)
2) https://www.socialworkers.org/LinkClick.aspx?fileticket=xBMd58VwEhk%3D&portalid=0
3) https://www.nhpco.org/patients-and-caregivers/?pageid=3355
4) Bosma, H., Johnston, M., Cadell, S., Wainwright, W., Abernethy, N., Feron, A., Kelley, M. L., & Nelson, F. (2010). Creating social work competencies for practice in hospice palliative care. Palliative Medicine, 24(1), 79–87. https://doi.org/10.1177/0269216309346596
5) Cadell S, Johnston M, Bosma H, & Wainright W. (2010). An overview of contemporary social work practice in palliative care. Progress in Palliative Care, 18(4), 205–211. https://doi-org.ezp.waldenulibrary.org/10.1179/096992610X12775428636700
6) Ghoshal, A., Salins, N., Damani, A., Deodhar, J., & Muckaden, M. (2016). Specialist Pediatric Palliative Care Referral Practices in Pediatric Oncology: A Large 5-year Retrospective Audit. Indian Journal of Palliative Care, 22(3), 266–273. https://doi-org.ezp.waldenulibrary.org/10.4103/0973-1075.185031
7) O’Connor, M., & Fisher, C. (2011). Exploring the dynamics of interdisciplinary palliative care teams in providing psychosocial care: “Everybody thinks that everybody can do it and they can’t.” Journal of Palliative Medicine, 14(2), 191–196. https://doi-org.ezp.waldenulibrary.org/10.1089/jpm.2010.0229

As discussed earlier, nursing is both an art and a science. While your foundation of decision making and practice standards emphasize science, it is the art of nursing that is highlighted and showcased when practicing holistically.

Now that you have learned about holistic nursing, in this written assignment, think about yourself as a practicing “holistic nurse.” In no more than three pages:

  1. Describe the knowledge, values, and skills you will need to practice holistically?
  2. Discuss how this approach to nursing care can promote positive client health outcomes?
  3. Identify two possible challenges or issues you might face in practicing holistically and how you might overcome them

Eco 302: Fall-20-Assignment 2: Chapters: 8, 9, 10, and 13: Total 250 points due by Midnight (11:59 pm), Sunday, Nov 29th, 2020
True/False Questions carry 2 points each, Multiple Choices carry 4 points each and the Essay type questions carry 10 points each: total 250 points.
 
True / False Questions (2 points each)  Chapter 8   1. The sampling distribution of    must be a normal distribution.
2. The reason sample variance has a divisor of n-1 rather than n is that it makes the sample variance an unbiased estimate of the population standard deviation.
3. The standard deviation of the sampling distribution of the sample mean increases as the sample size increases.
4. If a population is known to be normally distributed, then it follows that the sample mean must equal the population mean.  5. If the sampled population is a normal distribution, then the sampling distribution of   must be normal for large samples but may not be normal for a small sample.
6. The mean of the sampling distribution of  (X-bar) is not always equal to the mean of the sampled population.  Chapter 9 7. Assuming the same level of significance , as the sample size increases, the value of t/2 approaches the value of z/2. 
8. When constructing a confidence interval for a sample proportion, the t distribution is more appropriate (theoretically) whenever the population standard deviation is not known, whether the sample size is large or small.

9. When the level of confidence and sample proportion p remain the same, a confidence interval for a population proportion p based on a sample of n = 200 will be narrower than a confidence interval for p based on a sample of n = 100.

10. When the level of confidence and the sample size remain the same, a confidence interval for a population mean µ will be narrower, when the sample standard deviation s is larger than when s is smaller.

Chapter 10 11. The further the hypothesized mean is from the actual mean the greater the power of the test. 12. The manager of the quality department for a tire manufacturing company wants to know the average tensile strength of rubber used in making a certain brand of radial tire. She knows the population standard deviation and uses a Z test to test the null hypothesis that the mean tensile strength is 800 pounds per square inch. The calculated Z test statistic is a positive value that leads to a p-value of .067 for the test. If the significance level is .01, the null hypothesis would be rejected. Assume that the population of pressure values is normally distributed.

13. The larger the p-value, the more we doubt the null hypothesis. 14.  You cannot make a Type II error when the null hypothesis is true. 15.  A Type II error is rejecting a true null hypothesis.

16. When conducting a hypothesis test about a single mean, other relevant factors held constant, changing the level of significance from .05 to .10 will increase the probability of a Type I error.

17.  When conducting a hypothesis test about a single mean, other relevant factors held constant, increasing the level of significance from .05 to .10 will reduce the probability of a Type II error.

18. The Alternative hypothesis sometimes includes an equal (=) sign.

19. When the null hypothesis is true, there is no possibility of making a Type II error.  Chapter 13 20. The error term is the difference between an individual value of the dependent variable and the corresponding mean value of the dependent variable.

21. The residual is the difference between the observed value of the dependent variable and the predicted value of the dependent variable.

22. The slope of the simple linear regression equation represents the average change in the value of the independent variable (X) per unit change in the dependent variable (Y).

23. A significant positive correlation between X and Y does imply that changes in X cause Y to change.

24. The Coefficient of Determination is the ratio of explained variation to total variation.

25. When using simple regression analysis, if there is a strong correlation between the independent and dependent variable, then we can conclude that an increase in the value of the independent variable causes an increase in the value of the dependent variable.

Multiple Choices (4 Points Each) Chapter 8 1. If the sampled population has a mean 48 and standard deviation 18, then the mean and the standard deviation for the sampling distribution of  (X-bar) for n = 9 are:  A. 48 and 18 B. 48 and 9 C. 16 and 6 D.  48 and 6 E. 48 and 2 2. A manufacturing company measures the weight of boxes before shipping them to the customers. If the box weights have a population mean and standard deviation of 90 lbs. and 24 lbs. respectively, then based on a sample size of 36 boxes, the probability that the average weight of the boxes will be more than 94 lbs. is:  A. 34.13% B. 84.13% C. 15.87% D. 56.36% E. 16.87%

3. If a population distribution is known to be normal, then it follows that:  A. The sample mean must equal the population mean B. The sample mean must equal the population mean for large samples C. The sample standard deviation must equal the population standard deviation D. All of the above E. None of the above

4. In a manufacturing process a machine produces bolts that have an average length of 3 inches with a variance of .03. If we randomly select three bolts from this process: What is the probability the mean length of the bolt is more than 3.16 inches?  A. 5.48% B. 97.72% C. 94.52% D. 44.52% E. 2.28%

5. Whenever the population has a normal distribution, the sampling distribution of   is normal or near normal distribution:  A. For only large sample sizes B. For only small sample sizes C. For any sample size D. For only samples of size 30 or more

Chapter 9 6. The width of a confidence interval will be:  A. Narrower for 99% confidence than 95% confidence B. Narrower for a sample size of 100 than for a sample size of 200 C. Wider for 95% confidence than 90% confidence D. Wider when the sample standard deviation (s) is small than when s is large 7.  As standard deviation increases, samples size _____________ to achieve a specified level of confidence.  A. Increases B. Decreases C. Remains the same 8. When the level of confidence and sample standard deviation remain the same, a confidence interval for a population mean based on a sample of n = 100 will be ______________ a confidence interval for a population mean based on a sample of n = 150.  A. Wider than B. Narrower than C. Equal to 9. When a confidence interval for a population proportion is constructed for a sample size n =30 and the value of p =.4, the interval is based on:  A. The Z distribution without continuity correction B. The Z distribution with continuity correction C. Skewed distribution D. None of the above

10. In a manufacturing process a random sample of 9 bolts manufactured has a mean length of 3 inches with a variance of .09. What is the 90% confidence interval for the true mean length of the bolt?  A. 2.8355 to 3.1645 B. 2.5065 to 3.4935 C. 2.8140 to 3.1860 D. 2.4420 to 3.5580 E. 2.9442 to 3.0558 11. The internal auditing staff of a local manufacturing company performs a sample audit each quarter to estimate the proportion of accounts that are delinquent (more than 90 days overdue). For this quarter, the auditing staff randomly selected 400 customer accounts and found that 80 of these accounts were delinquent. What is the 95% confidence interval for the proportion of all delinquent customer accounts at this manufacturing company?  A. .1608 to .2392 B. .1992 to .2008 C. .1671 to .2329 D. .1485 to .2515 E. .1714 to .2286 12. The internal auditing staff of a local manufacturing company performs a sample audit each quarter to estimate the proportion of accounts that are current (between 0 and 60 days after billing). The historical records show that over the past 8 years 70 percent of the accounts have been current. Determine the sample size needed in order to be 95% confident that the sample proportion of the current customer accounts is within .03 of the true proportion of all current accounts for this company. A. 1842 B. 1548 C. 897 D. 632 E. 1267

Chapter 10 13.  When testing a null hypothesis about a single population mean and the population standard deviation is unknown, if the sample size is less than 30, one compares the computed test statistic for significance with a value from the ___________ distribution.  A. t B. Z C. Binomial D. Skewed distribution 14. For a given hypothesis test if we do not reject H0 and H0 is true.  A. No error has been committed B. Type I error has been committed C. Type II error has been committed D. Type III error has been committed 15.  If a null hypothesis is not rejected at a significance level of .05, it will ______ be rejected at a significance level of .10  A. Always B. Sometimes C. Never

16.  If a two-sided null hypothesis is rejected for a single mean at a given significance level, the corresponding one-sided null hypothesis (i.e., the same sample size, the same standard deviation and the same mean) will _________ be rejected at the same significance level.  A. Always B. Sometimes C. Never

17. A professional basketball player is averaging 21 points per game. He will be retiring at the end of this season. The team has multiple options to replace him. However, the owner feels that signing a replacement is only justified, if he can average more than 22 points per game. Which of the following are the appropriate hypotheses for this problem?  A. H0: 21 vs. H> 21 B. H0: 22 vs. H> 22 C. H0: 21 vs. H< 21 D. H0: 22 vs. H< 22

18. When carrying out a large sample test of H0: = 10 vs. Ha: > 10 by using a critical value, we reject H0 at level of significance when the calculated test statistic is:  A. Less than z B. Less than- z C. Greater than z/2 D. Greater than z E. Less than the p value Chapter 13 19. In a simple linear regression analysis, the correlation coefficient (a) and the slope (b) _____ have the same sign.  A. Always B. Sometimes C. Never D. Cannot say

20. The least squares regression line minimizes the sum of the  A. Differences between actual and predicted Y values B. Absolute deviations between actual and predicted Y values C. Absolute deviations between actual and predicted X values D. Squared differences between actual and predicted Y values E. Squared differences between actual and predicted X values 21. The ___________ the R2 and the __________ the s (standard error), the stronger the relationship between the dependent variable and the independent variable.  A. Higher, lower B. Lower, higher C. Lower, lower D. Higher, higher 22.  In simple regression analysis, the quantity that gives the amount by which Y (dependent variable) changes for a unit change in X (independent variable) is called the  A. Coefficient of determination B. Slope of the regression line C. Y intercept of the regression line D. Correlation coefficient E. Standard error 23. A simple bivariate regression analysis with 21 observations would yield ________ degrees of freedom error and _________ degrees of freedom total.  A. 1, 20 B. 18, 19 C. 19, 20 D. 1, 19 E. 18, 20 24. The correlation coefficient may assume any value between  A. 0 and 1 B. – and C. 0 and 8 D. -1 and 0 E. -1 and 1 25. In simple regression analysis, if the correlation coefficient is a positive value, then  A. The Y intercept must also be a positive value B. The coefficient of determination can be either positive or negative, depending on the value of the slope C.  The slope of the regression line must also be positive D. The least squares regression equation could either have a positive or a negative slope E. The standard error of estimate can either have a positive or a negative value

Essay type Questions (2 points each) (Must show your work to receive full points) Chapter 8 1 Packages of sugar bags for Sweeter Sugar Inc. have an average weight of 16 ounces and a standard deviation of 0.24 ounces. The weights of the sugar bags are normally distributed. What is the probability that 16 randomly selected packages will have an average weight less than 15.97 ounces?

Chapter 9 2. A sample of 25 items yields = 60 grams and s = 9 grams. Assuming a normal parent distribution, construct a 99 percent confidence interval for the population mean weight.

3. Of a random sample of 600 trucks at a bridge, 150 had bad signal lights. Construct a 95 percent confidence interval for the percentage of trucks that had bad signal lights.  4. A cable TV company wants to estimate the percentage of cable boxes in use during an evening hour. An approximation based on previous surveys is 30 percent. The company wants the new estimate to be at the 90 percent confidence level and within 2 percent of the actual proportion. What sample size is needed?

5. Suppose that 60 percent of the voters in a particular region support a candidate. Find the probability that a sample of 1,000 voters would yield a sample proportion in favor of the candidate within 3 percentage points of the actual proportion.

Chapter 10 (show the critical or table values and the calculated values for test statistics in all hypothesis test questions)

6. Test H0: 8 versus HA: > 8, at = 0.05 and 0.01, given n = 25,    = 8.07 and s = 0.16. Assume the sample is selected from a normally distributed population.

7. Test H0: π = 0.25 versus HA: π 0.25 with p = 0.33 and n = 100 at alpha = 0.05 and 0.10.

8. Test at α =.05 and 0.10 the hypothesis that a majority (more than 50%) of students favor the plus/minus grading system at a university if in a random sample of 500 students, 265 favor the system?

9. Test whether the sample evidence indicates that the average time an employee stays with a company in their current positions is less than 3 years when a random sample of 64 employees yielded a mean of 2.76 years and s = 0.8. Use = 0.01. Assume normal distribution.

Chapter 13 10.  Consumer Reports provided extensive testing and ratings for more than 100 HDTVs. An overall score, based primarily on picture quality, was developed for each model. In general, a higher overall score indicates better performance. The following (hypothetical) data show the price and overall score for the ten 42-inch plasma televisions (Consumer Report data slightly changed here):

Brand Price (X) Score (Y)
Dell 2900 53
Hisense 2800 51
Hitachi 2700 45
JVC 3500 60
LG 3300 57
Maxent 2000 30
Panasonic 4200 67
Phillips 3100 56
Proview 2500 32
Samsung 3000 49


 

Use the above data to develop and estimated regression equation and interpret the coefficients. Compute Coefficient of Determination and correlation coefficient and show their relation. Interpret the explanatory power of the model. Estimate the overall score for a 42-inch plasma television with a price of $3200. Finally, test the significance of the slope coefficient. (Note that you need to provide necessary interpretations to get full points).

 

 

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  Assignment Content

  1. Prepare a 3 to 5-slide presentation for the 2 economies selected by your team. Cite the text as you compare and contrasts both economies. Suggestions are below. The team can write to cteeter@email.phoenix.edu with its choice.

Team 4: Venezuela vs Saudi Arabia (world’s 2 largest sources of oil reserves)

  • Research each economy selected by your Team. Compare similarities and differences between your assigned countries/economies and how their economic, political, and cultural development since 1992 has influenced their economic growth and trade competitiveness.
    Use tables and/or graphs to support your analysis of the following economic statistics/indicators of your 2 assigned economies through the most recent year available since 2009 (the trough of the last economic cycle). Whenever possible, plot the metric for both economies on the same chart.
  • GDP per capita growth over time
  • Inflation rate over time
  • Unemployment rate over time
  • Exports as a % of GDP over time
  • National government debt as a % of GDP
  • Evaluate the reasons why the economic growth of the 2 economies/countries varied. Discuss how international trade influenced the strength of each economy. Discuss the role of value chains and value-added production.
    Analyze how the failure to use value-added trade measures distorts trade statistics. For example, Boeing and Airbus airliners, Apple iPad and iPhone production, and North American integrated auto and light truck manufacturing.
    Examine at least 2 industries that have provided each economy a comparative advantage in world trade.
    Cite at least 2 academically credible sources.
    Format your citations according to APA guidelines.
  • attachment

    Team4-WorldEconomiesComparisonPresentation11.pptx

The Nurse Practice Act is enforced by the BON. Nurses must comply with the law and related rules in order to maintain their licenses. The law describes qualifications for licensure, nursing titles that are allowed to be used, scope of practice and actions that can or will happen if the nurse does not follow the nursing law.  These standards are important to our profession because they promote and guide our clinical practice.

Illinois RNs and LPNs are licensed by the Illinois Department of Financial & Professional Regulation. Although Illinois is not a Nurse Compact state, nurses may be licensed by examination or endorsement. Those who have taken the required exam elsewhere may be licensed by “acceptance of exam” even if they are not licensed in another jurisdiction. The state board of nursing is the owner of a nurse’s license, not the nurse.

The standards of practice influence how one should practice as a nurse. There are rules and regulations that must be followed. Working within your scope of practice allows to support patient safety. Violations of this may result in discipline as specified in Section 70-5 of the Act in Illinois.

direction:  Content
-Content thoroughly covers the topic; states a clear thesis, research question, or topic strongly; includes opposing argument(s), if applicable; maintains an appropriate respect for the opposition, if applicable; includes an abstract; provides at least eight appropriate, supportive, expansive, and reliable sources; contains suitable review of literature, context, and background, etc.
– Organization
Essay has a clear organizational structure; follows a logical flow; maintains attention to the thesis, topic, or research question; provides an effective introduction and conclusion; includes an abstract.
– Style and Grammar
Writing is consistently clear and appropriately formal, using acceptable style and reasonably complex sentences; paragraphs are well-formed; grammar is consistently correct; an effective balance of direct quotes, paraphrasing, and original thought are maintained.
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Proofreading is evident; overall essay, internal citations, and References page are properly laid out and easy to read, following APA formatting standards, etc.