Role of Technology in Long-Term Care Using the South University Online Library and the Internet, find three articles describing the role technology will play in addressing the challenges ahead in long-term care. Summarize your findings and based on your learning, respond to the following questions: Which challenges in long-term care system remain unmet? Why? What changes can we expect to occur with the influx of baby boomers entering into the long-term care system? Why do you think technology is important to long-term care? Support your answer with relevant examples. What are the pros and cons of the implementation of technology in long-term care? Consider both providers and consumers while describing.
In: Economics
Lydo Cinema Chain based in Melbourne, owns three cinemas in the suburbs of Camberwell, South Yarra and Ringwood. It has prepared budgets for the coming year based upon a ticket price of $20.
Particulars |
Camberwell |
South Yarra |
Ringwood |
||
Budgeted revenue from ticket sales |
1,500,000 |
1,250,000 |
750,000 |
||
Costs: |
|||||
Film license |
510,000 |
390,000 |
380,000 |
||
Wages and salaries |
295,000 |
265,000 |
175,000 |
||
Overheads |
495,000 |
395,000 |
345,000 |
||
Total costs |
1,300,000 |
1,050,000 |
900,000 |
||
Included in the overhead figures are the Head Office fixed costs that amount to $750,000, these have been allocated to each cinema based on budgeted ticket receipts. All other costs are variable. The top management is concerned about the Ringwood cinema and the fact that it is showing a budgeted loss and is considering closing the cinema and selling the site to a Property Developer.
Required:
In: Accounting
Imaginary story
You have just been appointed as the Finance Director for South East
Asia of a large multinational bank (the Bank of Northeastern
States), based in the United States and headquartered in Boston,
Massachusetts. You have been posted to a recent acquisition of a
Stock Market listed manufacturing plant, Peninsula Transport
located in a small township some 40 kilometres outside the capital
city of Indonesia. Your instructions are to asset strip the
acquired company then close it down within one year.
Two weeks into your appointment and having just arrived in Jakarta
you are given a company provided apartment and have spent several
days unpacking and settling in with your family. Today is your
first day at work and Mr Mohamed, the incumbent CEO a man who has
inherited the company from his father informs you that he knows
exactly why you are in Indonesia and begs you not to close his
company. As the day progresses, you begin to realise that before
the $ 100 million acquisition, the factory had been a wholly owned
family business that had served the community for more than four
decades and employed just under half the town’s available workforce
of three thousand people. Indeed, there were many families, some
with three generations in current employment with the company. In
addition, you also realise that many small and medium local
enterprises support the factory and that to close it will devastate
the entire community. The CEO claims that he and his family are
victims of a conspiracy to close the factory and sell the land to
build real estate on it. He shows you a newspaper report from
several years ago that clearly depicts the land surrounding the
town being earmarked for development under the government’s plans
for the future of the area. This involves building several thousand
residential units and expanding the township into a commuter suburb
serving the capital city.
Mr Mohamed informs you that he has rejected several offers from the
government and has successfully fought them in the courts and
obtained ‘heritage status’protection to overturn a local government
order for compulsory purchase of the land from his family who have
owned it for several generations.
The local CEO also informs you that he has evidence of bribes and
gifts being made by the Bank of Northeastern States to local
politicians, as well as substantial donations to National People’s
Party, a political party who are the incumbent government. It is
very clear that there is a trail of corruption leading all the way
back to your employers in Boston. That night you call your CEO at
Northeastern Bank to inform him and are shocked when he responds
with threats against you and your family that if you don’t do as
instructed you will be arrested and thrown in jail by local police.
The next morning before you leave for work, you are paid a
clandestine visit by a senior police officer and he also informs
you in a veiled threat that your situation in Indonesia leaves you
and your family very vulnerable. At this point, you realise that
you have been lied to by the Board of Northeastern States Bank and
that they are partners in a web of corruption worth tens of
millions of US Dollars involving local Indonesian politicians and
local police.
You find yourself in a dilemma. If you follow through with your
instructions you understand that you will be responsible for the
social consequences of closing the factory and will be just as
guilty as those who are involved in the conspiracy. If you don’t
you will be fired and face an uncertain future in which you and
your family, having already been threatened, leaves you in no doubt
of the consequences of being arrested and detained in a foreign
country where you have no rights.
Two questions to discuss:
1) What should you do?
2) Why would you do that?
In: Accounting
Daisy owns a condominium in the Hilton Head Island, South Carolina. During the year, Daisy uses the condo for a total of 25 days. The condo is also rented to vacationers for a total of 100 days and generates a rental income of $38,000. Daisy incurs the following expenses:
Expense |
Amount |
Mortgage interest |
$ 10,000 |
Property taxes |
14,800 |
Utilities |
4,000 |
Insurance |
2,800 |
Depreciation (Annual) |
17,500 |
Using the IRS method of allocating expenses, the amount of depreciation that Daisy may take with respect to the rental property will be? Show work.
A) $ 3,500.
B) $ 6,780
C) $12,720.
D) $14,000.
In: Accounting
A family on vacation in San Francisco drives from Golden Gate Park due south on 19th Avenue for 2.2 miles and then turns west on Sloat Boulevard and drives an additional 1.1 mile to go to the zoo. The driving time for this trip is 18 minutes. What is the family’s net displacement for this trip? What is the average speed for the trip? What is the average velocity? (Remember to specify the direction of the net displacement and the velocity vectors. This requires giving a reference, like “of the north”, and a direction the angle is measured, like “east” in the direction “20.0° east of north”.)
In: Physics
Implementing a Public Health Program Using the South University Online Library or the Internet, research about the ten leading causes of death in the United States. List all the diseases and select one disease. Research further on your selected disease. Based on research, create a 5- to 7-page Microsoft Word document that includes:
use diabetes
A proposal for a public health program to address that disease within your community.
An outline of the steps you will undertake to evaluate the program you have proposed.
An evaluation design for your program.
An identification and collection of data to evaluate your program.
An explanation of the method determined for collecting the data.
Conclusions from the data and justification of those conclusions.
Recommendations for improvements to your program and a plan to communicate those recommendations.
In: Nursing
Identifying Health Disparities
Using the South University Online Library or the Internet, research and read about a specific health disparity of interest to you. This can be based on gender, age, race, ethnicity, sexual orientation, gender identity, etc.
Based on your research and data gathered, create a report in a 8 to 10 page paper that addresses the following:
What is the background of the disparity
chosen?
Who does this disparity impact?
What are the determinants of this disparity?
What is the impact of this disparity?
Is there an intersection of multiple concerns related
to race/ethnicity, gender, and sexuality related to this
issue?
How and where would one seek to intervene to address
this disparity in the context of the social ecological
model?
How does this disparity affect the health of the
population on a larger scale?
How does your race/ethnicity, gender, sexual orientation, or SES
impact your ability to work within the community affected by this
disparity?
In: Nursing
Write a summary of your overall impressions of the community: (Hunts point(south Bronx))
1. What are the strengths, weaknesses, needs and assets?
2. What do you find interesting?
3. What trends do you recognize?
4. What do you think people should know about this community?
5. How do its citizens feel about the community?
6. What need(s) do you identify as requiring to be addressed by the community in collaboration with the community health nurse and other community partners?
In: Nursing
Many regions in North and South Carolina and Georgia have experienced rapid population growth over the last 10 years. It is expected that the growth will continue over the next 10 years. This has motivated many of the large grocery store chains to build new stores in the region. The Kelley’s Super Grocery Stores Inc. chain is no exception. The director of planning for Kelley’s Super Grocery Stores wants to study adding more stores in this region. He believes there are two main factors that indicate the amount families spend on groceries. The first is their income and the other is the number of people in the family. The director gathered the following sample information.
Family | Food | Income | Size | |||||
1 | $ | 5.26 | $ | 73.98 | 5 | |||
2 | 4.08 | 54.90 | 2 | |||||
3 | 5.76 | 59.12 | 4 | |||||
4 | 3.48 | 52.02 | 1 | |||||
5 | 4.20 | 65.70 | 2 | |||||
6 | 4.80 | 53.64 | 4 | |||||
7 | 4.32 | 79.74 | 3 | |||||
8 | 5.04 | 68.58 | 4 | |||||
9 | 6.12 | 165.60 | 5 | |||||
10 | 3.24 | 64.80 | 1 | |||||
11 | 4.80 | 138.42 | 3 | |||||
12 | 3.24 | 125.82 | 1 | |||||
13 | 6.45 | 77.58 | 7 | |||||
14 | 4.63 | 172.92 | 6 | |||||
15 | 6.60 | 90.98 | 8 | |||||
16 | 5.40 | 141.30 | 3 | |||||
17 | 6.00 | 36.90 | 5 | |||||
18 | 5.40 | 56.88 | 4 | |||||
19 | 3.36 | 71.82 | 1 | |||||
20 | 4.68 | 69.48 | 3 | |||||
21 | 4.32 | 54.36 | 2 | |||||
22 | 5.52 | 87.66 | 5 | |||||
23 | 4.56 | 38.16 | 3 | |||||
24 | 5.40 | 43.74 | 7 | |||||
25 | 4.78 | 60.72 | 4 | |||||
Food and income are reported in thousands of dollars per year, and the variable size refers to the number of people in the household.
Click here for the Excel Data File
a-1. Develop a correlation matrix. (Round your answers to 3 decimal places. Negative amounts should be indicated by a minus sign.)
a-2. Do you see any problem with multicollinearity?
b-1. Determine the regression equation. (Round your answer to 3 decimal places.)
b-2. How much does an additional family member add to the amount spent on food? (Round your answer to the nearest dollar amount.)
c-1. What is the value of R2? (Round your answer to 3 decimal places.)
c-2. Complete the ANOVA (Leave no cells blank - be certain to enter "0" wherever required. Round SS, MS to 4 decimal places and F to 2 decimal places.)
c-3. State the decision rule for 0.05 significance level. H0: = β1 = β2 = 0; H1: Not all βi's = 0. (Round your answer to 2 decimal places.)
c-4. Can we reject H0: = β1 = β2 = 0?
d-1. Complete the table given below. (Leave no cells blank - be certain to enter "0" wherever required. Round Coefficient, SE Coefficient, P to 4 decimal places and T to 2 decimal places.)
d-2. Would you consider deleting either of the independent variables?
From the graph the residuals appear normally distributed.
True
False
There is a homoscedasticity problem.
There is no homoscedasticity problem.
In: Statistics and Probability
The project is adapted from the Chapter 4 Case Study dealing with North–South Airline In January 2012, Northern Airlines merged with Southeast Airlines to create the fourth largest U.S. carrier. The new North–South Airline inherited both an aging fleet of Boeing 727-300 aircraft and Stephen Ruth. Stephen was a tough former Secretary of the Navy who stepped in as new president and chairman of the board.
Stephen’s first concern in creating a financially solid company was maintenance costs. It was commonly surmised in the airline industry that maintenance costs rise with the age of the aircraft. He quickly noticed that historically there had been a significant difference in the reported B727-300 maintenance costs (from ATA Form 41s) in both the airframe and the engine areas between Northern Airlines and Southeast Airlines, with Southeast having the newer fleet.
On February 12, 2012, Peg Jones, vice president for operations and maintenance, was called into Stephen’s office and asked to study the issue. Specifically, Stephen wanted to know whether the average fleet age was correlated to direct airframe maintenance costs and whether there was a relationship between average fleet age and direct engine maintenance costs. Peg was to report back by February 26 with the answer, along with quantitative and graphical descriptions of the relationship.
Peg’s first step was to have her staff construct the average age of the Northern and Southeast B727-300 fleets, by quarter, since the introduction of that aircraft to service by each airline in late 1993 and early 1994. The average age of each fleet was calculated by first multiplying the total number of calendar days each aircraft had been in service at the pertinent point in time by the average daily utilization of the respective fleet to determine the total fleet hours flown. The total fleet hours flown was then divided by the number of aircraft in service at that time, giving the age of the “average” aircraft in the fleet.
The average utilization was found by taking the actual total fleet hours flown on September 30, 2011, from Northern and Southeast data, and dividing by the total days in service for all aircraft at that time. The average utilization for Southeast was 8.3 hours per day, and the average utilization for Northern was 8.7 hours per day. Because the available cost data were calculated for each yearly period ending at the end of the first quarter, average fleet age was calculated at the same points in time. The fleet data are shown in the following table.
The project is derived from a case study located at the end of chapter 4 dealing with regression analysis. Please note, however that some of the numbers in the project tables in the text have been changed so students should get their complete instructions from the Project area provided in Getting Started section of the Table of Contents. Students should use the Data Analysis add-on pack from the standard Microsoft Excel software available in every Microsoft Office software since 2007. The project requirements are:
Submit your Excel Worksheet with five tabs (data, plus 4 tabs for the regressions) to the assignment drop box. Also include your formal response in a Microsoft Word document. Late work will not be accepted. The Excel worksheet and Word documents must be submitted BEFORE then end of Unit 7. This project is worth 160 points.
Note: Dates and names of airlines and individuals have been changed in this case to maintain confidentiality. The data and issues described here are real.
Northern Airline Data (numbers have been changed from text)
Airframe Cost |
Engine Cost |
Average Age |
|
Year |
per Aircraft |
per Aircraft |
(Hours) |
2001 |
61.80 |
33.49 |
6,512 |
2002 |
54.92 |
38.58 |
8,404 |
2003 |
69.70 |
51.48 |
11,077 |
2004 |
68.90 |
58.72 |
11,717 |
2005 |
63.72 |
45.47 |
13,275 |
2006 |
84.73 |
50.26 |
15,215 |
2007 |
78.74 |
80.60 |
18,390 |
Southeast Airline Data (numbers have been changed from text)
Airframe Cost |
Engine Cost |
Average Age |
|
Year |
Per Aircraft |
per Aircraft |
(Hours) |
2001 |
14.29 |
19.86 |
5,107 |
2002 |
25.15 |
31.55 |
8,145 |
2003 |
32.18 |
40.43 |
7,360 |
2004 |
31.78 |
22.10 |
5,773 |
2005 |
25.34 |
19.69 |
7,150 |
2006 |
32.78 |
32.58 |
9,364 |
2007 |
35.56 |
37.07 |
8,259 |
In: Statistics and Probability