The polling organization Ipsos conducted telephone surveys in March of 2004, 2005 and 2006. In each year, 1001 people age 18 or older were asked about whether they planned to use a credit card to pay federal income taxes that year. The data are given in the accompanying table. Is there evidence that the proportion falling in the three credit card response categories is not the same for all three years? Test the relevant hypotheses using a .05 significance level. (Use 2 decimal places.)
| Intent to Pay Taxes with a Credit Card | |||
| 2004 | 2005 | 2006 | |
| Definitely/Probably Will Might/Might Not/Probably Not Definitely Not |
42 163 782 |
45 180 777 |
42 190 780 |
χ2 =
P-value interval
p < 0.0010.001 ≤ p < 0.01 0.01 ≤ p < 0.050.05 ≤ p < 0.10p ≥ 0.10
In: Math
On July 1, 2019, the Morgan County School District received a
$69,000 gift from a local civic organization with the stipulation
that, on June 30 of each year, $5,400 plus any interest earnings on
the unspent principal be awarded as a college scholarship to the
high school graduate with the highest academic average. A
private-purpose trust fund, the Civic Scholarship Fund, was
created.
Required:
a. Record the above transactions on the books of the Civic
Scholarship Fund.
b. Prepare a Statement of Changes in Fiduciary Net
Position for the Civic Scholarship Fund for the year ended June 30,
2020.
Requirement 1:
On July 1, 2019, the gift was received and immediately invested. Record the entry for receipt of the cash gift.
On July 1, 2019, the gift was received and immediately invested. Record the entry for the investment of the cash gift.
On June 30, 2020, $5,400 of the principal was converted into cash. In addition, $4,400 of interest was received.
On June 30, the $9,800 was awarded to a student who had maintained a 4.0 grade point average throughout each of her four years.
The nominal accounts were closed.
Requirement 2:
Prepare a Statement of Changes in Fiduciary Net Position for the Civic Scholarship Fund for the year ended June 30, 2020.
|
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In: Accounting
You are a supervisor at your organization. A Critical Incident has occurred, and you are required to learn more about it. The incident will impact both you and your team of employees. As the supervisor, you will be expected to lead your team through the situation. Get ready, put your supervisor hat on, and get started. Research to find an article or articles on the topic Significant Changes in Work Schedules. The article(s) should be based on a real-world event or based on best practice or academic research. The preferenceis for students to find a real-world event. Include all articles in full form (not links) in the appendix section of your report. The report is to include the following: a.Introduction SectionoProvide a complete overview of the entire report. The introduction section should clearly state the subject matter of the report, and it should explain the methods used to gather data. In explaining the methods, indicate what kinds of primary and secondary research was used in the paper. The introduction is to include a brief statement of the paper's findings and conclusions. b.Report Content SectionsoDescribe the situation or topic in detail. Use 5W+H (Who, What, Why, When, Where, How)oWhat must the supervisor to do to handle the situation or event?oDescribe the short and longer-term impact(s) of the situation/topic on the role ofthe supervisor and his/her employees. Explain how these impacts may change 2 the role of the supervisor. Do you view the changes to the role of the supervisor as easy, mid-range or difficult?oWhat help might the supervisor need to support the required changes and from whom?oProvide recommendations on what supervisory practices, policies, procedures, structure, etc. may need to change. c.Summary SectionoSummarize the report.oIdentify the conclusions you have drawn from your research.d.References and AppendixoFollow APA @ Conestoga for citing and referencing.oInclude Appendix for full form copy of all articles used in research.
In: Economics
The assumption that a system will operate in a stable environment without risk is not realistic (Sales et al., 2018). Risk is widely classified into disruption and operational risks (Kleindorfer & Saad, 2005; Tang, 2006). Extreme uncertainty and the absence of synchronization between supply and demand are linked to operational risks while circumstances such as labor strikes, terrorist attacks, and natural calamities are related to disruption risks (Lockamy & McCormack, 2010). The probability of human injury or even death is high in disruptions such as multi-casualty disasters which brings about the challenge of increased pressure on healthcare. Healthcare institutions are required to become capable of understanding and adapting to environmental changes to mitigate such unexpected changes. These unexpected changes can affect the competitiveness, responsiveness and operating procedures of a firm significantly (Huang, Yen, & Liu, 2014), and for healthcare institutions, the economic well-being and reputation of the nation as well.
There is a growing need for healthcare institutions to develop responsiveness (Tolf, Nyström, Tishelman, Brommels, & Hansson, 2015; Vissers, Bertrand, & De Vries, 2001). However, the responsiveness of healthcare systems remains a complex, distinct and still not adequately investigated concept (Brinkerhoff & Bossert, 2013; Cleary, Molyneux, & Gilson, 2013; Gilson, Palmer, & Schneider, 2005; Siddiqi et al., 2009). Responsive healthcare systems anticipate and adjust to meet evolving requirements, exploiting opportunities to enhance access to effective interventions and to enhance health services (Hanefeld, Powell-Jackson, & Balabanova, 2017; Lodenstein, Dieleman, Gerretsen, & Broerse, 2013), ultimately resulting in improvements in outcomes of healthcare (Allotey, Davey, & Reidpath, 2014; Smith, Mossialos, Papanicolas, & Leatherman, 2009). A better understanding of healthcare responsiveness is particularly important for many nations with low and medium incomes such as Ghana, where economic and social development is rapidly advancing.
Nevertheless, responsiveness always implies that a flexible central system exists (More & Babu, 2008). Flexibility is required to respond quickly to the rapidly changing unique patient needs and demands (Aronsson, Abrahamsson, & Spens, 2011; Peltokorpi, Torkki, & Lillrank, 2011). Flexibility remains an expensive and challenging capability to develop and incorporate in any system completely. Identifying the right flexibility capabilities to develop can efficiently improve responsiveness to meet changing needs and demands of healthcare patients (Aronsson et al., 2011; Peltokorpi et al., 2011). Moreover, flexible scheduling and resources can help healthcare institutions respond more effectively to their patients by better matching the variable demand for care with the supply of physical resources such as beds, pharmaceutical, people and space required (Chen, Zhou, Ma, & Pham, 2011; Laker, Froehle, Lindsell, & Ward, 2014). Researchers have asserted that flexibility can be proactively employed as well to create a competitive advantage for a business (Chang, Yang, Cheng, & Sheu, 2003; Ettlie & Penner-Hahn, 2008; D. M. Upton, 2008). Profitable flexibility applications have been demonstrated in various ways: by the National Bicycle Industrial Company (Moffat, 1990), and by the General Motors ' Lordstown factory experiment (Kasarda and Rondinelli, 1998). Flexibility is clearly of the utmost significance (J. H. M. Manders, Caniëls, & Ghijsen, 2017) to the responsiveness of healthcare institutions, the economy, patient satisfaction and yet significant amount of existing literature focuses on the manufacturing sector (Chang, Chen, Lin, Tien, & Sheu, 2006; Jack & Raturi, 2002; Koste, Malhotra, & Sharma, 2004), with little or no attention to the service sector..
However, understanding the impact of specific flexibility capabilities and their application is critical to organizations as flexibility is expensive to implement; hence any investment in flexibility based on wrongly considered competences might be (Gerwin, 2008; Narasimhan, Talluri, & Das, 2004). There is also a paucity of studies concerning flexibility capabilities relating to operations of healthcare institutions. The quality of care and satisfaction with health facilities have been seen in most research as the perfect measure of assessing health systems performance. However, the WHO suggests responsiveness as a better measure of the performance of health systems (NB Valentine et al., 2003). Healthcare institutions are challenged by many sources of uncertainty in the supply chain and at an operational level. Though supply chain and operations flexibilities have the potential to promote the resilience and responsiveness of healthcare institutions, the scarcity of the literature in this respect makes this study worthwhile. As a result of limited literature at present, little knowledge exists on the extent to which supply chain and operations flexibilities individually promote responsiveness, or impact customer satisfaction, particularly within the service sector in Ghana.
Required:
In: Operations Management
The assumption that a system will operate in a stable environment without risk is not realistic (Sales et al., 2018). Risk is widely classified into disruption and operational risks (Kleindorfer & Saad, 2005; Tang, 2006). Extreme uncertainty and the absence of synchronization between supply and demand are linked to operational risks while circumstances such as labor strikes, terrorist attacks, and natural calamities are related to disruption risks (Lockamy & McCormack, 2010). The probability of human injury or even death is high in disruptions such as multi-casualty disasters which brings about the challenge of increased pressure on healthcare. Healthcare institutions are required to become capable of understanding and adapting to environmental changes to mitigate such unexpected changes. These unexpected changes can affect the competitiveness, responsiveness and operating procedures of a firm significantly (Huang, Yen, & Liu, 2014), and for healthcare institutions, the economic well-being and reputation of the nation as well.
There is a growing need for healthcare institutions to develop responsiveness (Tolf, Nyström, Tishelman, Brommels, & Hansson, 2015; Vissers, Bertrand, & De Vries, 2001). However, the responsiveness of healthcare systems remains a complex, distinct and still not adequately investigated concept (Brinkerhoff & Bossert, 2013; Cleary, Molyneux, & Gilson, 2013; Gilson, Palmer, & Schneider, 2005; Siddiqi et al., 2009). Responsive healthcare systems anticipate and adjust to meet evolving requirements, exploiting opportunities to enhance access to effective interventions and to enhance health services (Hanefeld, Powell-Jackson, & Balabanova, 2017; Lodenstein, Dieleman, Gerretsen, & Broerse, 2013), ultimately resulting in improvements in outcomes of healthcare (Allotey, Davey, & Reidpath, 2014; Smith, Mossialos, Papanicolas, & Leatherman, 2009). A better understanding of healthcare responsiveness is particularly important for many nations with low and medium incomes such as Ghana, where economic and social development is rapidly advancing.
Nevertheless, responsiveness always implies that a flexible central system exists (More & Babu, 2008). Flexibility is required to respond quickly to the rapidly changing unique patient needs and demands (Aronsson, Abrahamsson, & Spens, 2011; Peltokorpi, Torkki, & Lillrank, 2011). Flexibility remains an expensive and challenging capability to develop and incorporate in any system completely. Identifying the right flexibility capabilities to develop can efficiently improve responsiveness to meet changing needs and demands of healthcare patients (Aronsson et al., 2011; Peltokorpi et al., 2011). Moreover, flexible scheduling and resources can help healthcare institutions respond more effectively to their patients by better matching the variable demand for care with the supply of physical resources such as beds, pharmaceutical, people and space required (Chen, Zhou, Ma, & Pham, 2011; Laker, Froehle, Lindsell, & Ward, 2014). Researchers have asserted that flexibility can be proactively employed as well to create a competitive advantage for a business (Chang, Yang, Cheng, & Sheu, 2003; Ettlie & Penner-Hahn, 2008; D. M. Upton, 2008). Profitable flexibility applications have been demonstrated in various ways: by the National Bicycle Industrial Company (Moffat, 1990), and by the General Motors ' Lordstown factory experiment (Kasarda and Rondinelli, 1998). Flexibility is clearly of the utmost significance (J. H. M. Manders, Caniëls, & Ghijsen, 2017) to the responsiveness of healthcare institutions, the economy, patient satisfaction and yet significant amount of existing literature focuses on the manufacturing sector (Chang, Chen, Lin, Tien, & Sheu, 2006; Jack & Raturi, 2002; Koste, Malhotra, & Sharma, 2004), with little or no attention to the service sector..
However, understanding the impact of specific flexibility capabilities and their application is critical to organizations as flexibility is expensive to implement; hence any investment in flexibility based on wrongly considered competences might be (Gerwin, 2008; Narasimhan, Talluri, & Das, 2004). There is also a paucity of studies concerning flexibility capabilities relating to operations of healthcare institutions. The quality of care and satisfaction with health facilities have been seen in most research as the perfect measure of assessing health systems performance. However, the WHO suggests responsiveness as a better measure of the performance of health systems (NB Valentine et al., 2003). Healthcare institutions are challenged by many sources of uncertainty in the supply chain and at an operational level. Though supply chain and operations flexibilities have the potential to promote the resilience and responsiveness of healthcare institutions, the scarcity of the literature in this respect makes this study worthwhile. As a result of limited literature at present, little knowledge exists on the extent to which supply chain and operations flexibilities individually promote responsiveness, or impact customer satisfaction, particularly within the service sector in Ghana.
Required:
In: Economics
In: Statistics and Probability
Question 3
Read the following three statements and then answer the question below.
Question 5
Explain, using calculations, the causal link between these three statements and briefly discuss whether there is any prospect of the UK regaining its ‘measles-free’ status in the next 5 years.
Question 6
In: Biology
Question:
Consider a project to supply your church with 55,000 gallons of
hand sanitizer annually for church services. You estimate that you
will need an initial Gh¢4,200,000 in terms of investment to get the
project started. The project will last for 5 years.
The project will bring in annual cash flows of Gh¢1,375,000. It
also estimates a salvage value of Gh¢300,000 after dismantling
costs.
Your cost of capital is 13 percent. Assume no taxes or
depreciation.
Required:
(a) What is the NPV of the sanitizer project? Should you pursue this project?
b) Suppose you believe that there is a best case scenario where initial investment could be 15% lower with salvage value and revenue being 10% higher, what would be the NPV under this scenario?
c) In the worst case scenario, you expect annual cash inflows to be 10% lower, salvage value to be 12% lower and initial investment to be 10% higher. Calculate the NPV under this worst case scenario. Would you still pursue the project?
d) You just received additional information that suggests that your base case (answer to a), best case (b) and worst case (c) scenarios have probabilities of 0.35, 0.35 and 0.30 respectively. What will be the expected NPV of the sanitizer project. What about the standard deviation of the sanitizer project? Do you think the project is still viable?
Please I need help on this question
In: Accounting
In: Accounting
In: Accounting