Questions
The following Treasury bond quote appeared in The Wall Street Journal on May 11, 2004: 9.125              ...

  1. The following Treasury bond quote appeared in The Wall Street Journal on May 11, 2004:

9.125               May 09            100.09375       100.12500       …         ‐2.15

Why would anyone buy this Treasury bond with a negative yield to maturity? How is this possible?

In: Finance

Compute and Interpret Z-score Balance sheets and income statements for Lockheed Martin Corporation follow. Refer to...

Compute and Interpret Z-score

Balance sheets and income statements for Lockheed Martin Corporation follow. Refer to these financial statements to answer the requirements.

Income Statement
Year Ended December 31 (In millions) 2005 2004 2003
Net sales
Products $ 31,518 $ 30,202 $ 27,290
Service 5,695 5,324 4,534
37,213 35,526 31,824
Cost of sales
Products 27,932 27,637 25,306
Service 5,073 4,765 4,099
Unallocated coporate costs 803 914 443
33,808 33,316 29,848
3,405 2,210 1,976
Other income (expenses), net (449) (121) 43
Operating profit 2,956 2,089 2,019
Interest expense 370 425 487
Earnings before taxes 2,586 1,664 1,532
Income tax expense 761 368 479
Net earnings $ 1,825 $ 1,296 $ 1,053
Balance Sheet
December 31 (In millions) 2005 2004
Assets
Cash and cash equivalents $ 2,144 $ 1,080
Short-term investments 429 396
Receivables 4,579 4,094
Inventories 1,921 1,864
Deferred income taxes 861 982
Other current assets 495 557
Total current assets 10,409 8,973
Property, plant and equipment, net 3,924 3,599
Investments in equity securities 196 812
Goodwill 8,447 7,892
Purchased intangibles, net 560 672
Prepaid pension asset 1,360 1,030
Other assets 2,728 2,596
Total assets $ 27,624 $ 25,574
Liabilities and stockholders' equity
Accounts payable $ 1,998 $ 1,726
Customer advances and amounts in excess of costs incurred 4,331 4,028
Salaries, benefits and payroll taxes 1,475 1,346
Current maturities of long-term debt 202 15
Other current liabilities 1,422 1,451
Total current liabilities 9,428 8,566
Long-term debt 4,944 5,184
Accrued pension liabilities 1,617 1,760
Other postretirement benefit liabilities 1,277 1,236
Other liabilities 2,491 1,807
Stockholders' equity
Common stock, $1 par value per share 432 438
Additional paid-in capital 1,724 2,223
Retained earnings 7,278 5,915
Accumulated other comprehensive loss (1,553) (1,532)
Other (14) (23)
Total stockholders' equity 7,867 7,021
Total liabilities and stockholders' equity $ 27,624 $ 25,574
Consolidated Statement of Cash Flows
Year Ended December 31 (In millions) 2005 2004 2003
Operating Activities
Net earnings $ 1,825 $ 1,266 $ 1,053
Adjustments to reconcile net earnings to net cash provided by operating activities
Depreciation and amortization 555 511 480
Amortization of purchased intangibles 150 145 129
Deferred federal income taxes 24 (58) 467
Changes in operating assets and liabilities:
Receivables (390) (87) (258)
Inventories (39) 519 (94)
Accounts payable 239 288 330
Customer advances and amounts in excess of costs incurred 296 (228) (285)
Other 534 568 (13)
Net cash provided by operating activities 3,194 2,924 1,809
Investing Activities
Expenditures for property, plant and equipment (865) (769) (687)
Acquisition of business/investments in affiliated companies (784) (91) (821)
Proceeds from divestiture of businesses/Investments in affiliated companies 935 279 234
Purchase of short-term investments, net (33) (156) (240)
Other 28 29 53
Net cash used for investing activities (719) (708) (1,461)
Financing Activities
repayment of long-term debt (53) (1,069) (2,202)
Issuances of long-term debt -- -- 1,000
Long-term debt repayment and issuance costs (12) (163) (175)
Issuances of common stock 406 164 44
Repurchases of common stock (1,310) (673) (482)
Common stock dividends (462) (405) (261)
Net cash used for financing activities (1,431) (2,146) (2,076)
Net increase (decrease) in cash and cash equivalents 1,044 70 (1,728)
Cash and cash equivalents at beginning of year 1,080 1,010 2,738
Cash and cash equivalents at end of year $ 2,124 $ 1,080 $ 1,010

As of December 31, there were the approximate shares outstanding:
2005 - 434,264,432
2004 - 440,445,630

As of December 31, the company's stock closed at the following values:
2005 - $63.63
2004 - $55.55

(a) Compute and compare the Altman Z-scores for both years. (Do not round until your final answer; then round your answers to two decimal places.)
2005 z-score = Answer


2004 z-score = Answer

In: Accounting

Use the following information to work Problem1 a) and b). Why the tepid response to higher...

Use the following information to work Problem1 a) and b).

Why the tepid response to higher gasoline prices?

Most studies report that when U.S. gas prices rise by 10 percent, the quantity purchased falls by 1 to 2 percent. In September 2005, the retail gasoline price was $2.90 a gallon, about $1.00 higher than in September 2004, but purchases of gasoline fell by only 3.5 percent.

Source: The New York Times, October 13, 2005

1.   (2 points) Calculate the price elasticity of demand for gasoline implied by what most studies have found.

2.   (2 points) Compare the elasticity implied by the data for the period from September 2004 to September 2005 with that implied by most studies. What might explain the difference?

In: Economics

Twelve-hour shifts are problematic for patient and nurse safety, yet hospitals continue to keep the 12-hour...

Twelve-hour shifts are problematic for patient and nurse safety, yet hospitals continue to keep the 12-hour shift schedule. In 2004, the Institute of Medicine (Board on Health Care Services & Institute of Medicine, 2004) published a report that referred to studies as early as 1988 that discussed the negative effects of rotating shifts on intervention accuracy. Workers with 12-hour shifts experienced more fatigue than workers on 8-hour shifts. In another study done in Turkey by Ilhan, Durukan, Aras, Turkcuoglu, and Aygun (2006), factors relating to increased risk for injury were age of 24 years or younger, less than 4 years of nursing experience, working in surgical intensive care units, and working for more than 8 hours. As a clinician reading these studies, what would your next step be?

In: Nursing

R code: ## 2. __Basic dplyr exercises__ ## Install the package `fueleconomy` and load the dataset...

R code:

## 2. __Basic dplyr exercises__

## Install the package `fueleconomy` and load the dataset `vehicles`. Answer the following questions.
install.packages("fueleconomy")
library(fueleconomy)
library(dplyr)
library(tidyr)
data(vehicles)

e. Finally, for the years 1994, 1999, 2004, 2009, and 2014, find the average city mpg of midsize cars for each manufacturer for each year. Use tidyr to transform the resulting output so each manufacturer has one row, and five columns (a column for each year). I have included sample output for the first two rows.

Output should like :

# make 1994 1999 2004 2009 2014
# 1 Acura NA 16.50000 17.33333 17.00000 20.60000
# 2 Audi NA 15.25000 16.20000 15.83333 19.08333

In: Statistics and Probability

The polling organization Ipsos conducted telephone surveys in March of 2004, 2005 and 2006. In each...

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...

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.

  1. On July 1, 2019, the gift was received and immediately invested.
  2. On June 30, 2020, $5,400 of the principal was converted into cash. In addition, $4,400 of interest was received.
  3. 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.
  4. The nominal accounts were closed.

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.

MORGAN COUNTY SCHOOL DISTRICT
Statement of Changes in Fiduciary Net Position
Civic Scholarship Fund
For the Year Ended June 30, 2020
Additions:
Total Additions
Deductions:
Change in Fiduciary Net Position

In: Accounting

You are a supervisor at your organization. A Critical Incident has occurred, and you are required...

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...

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:

  1. Propose an appropriate research title whch will adequately capture the research gaps and issues discussed.                                                                                                                                 
  2. Propose FOUR (4) research objectives which will reflect the research issues discussed.  
  3. Propose FOUR (4) research questions which will satisfy the research issues discussed.    

In: Operations Management

The assumption that a system will operate in a stable environment without risk is not realistic...

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:

  1. Propose an appropriate research title whch will adequately capture the research gaps and issues discussed.                                                                                                                                 
  2. Propose FOUR (4) research objectives which will reflect the research issues discussed.  
  3. Propose FOUR (4) research questions which will satisfy the research issues discussed.    

In: Economics