You are a student nurse working with a school nurse (registered nurse) in a secondary school. You and your mentor are supervising a bubble soccer match this afternoon (26th March) which commenced at 1400 hrs. The match goes for 40 minutes with a 5 minute break in between the two halves. It is a hot and sunny day, the air temperature is 32 oC and the humidity is 45%. Bubble soccer After the match, your mentor asks you to perform a range of health assessments to make sure the students are fit to go home. Jessie Lin is 16 years old and in Year 11. Jessie Lin It is now 1450 hours.
You assess Jessie's vital signs and record the following results: Temperature (tympanic) 38.5 oC Pulse rate 140 beats/min Respiratory rate (RR) 29 breaths/min Blood pressure (BP) 130/70 mmHg Jessie has flushed skin (see picture above) and her t-shirt is soaked. Her past medical history has not yet been documented in the school record as she is a new student and only enrolled in the school last week after moving from another state. She informs you that her mother is waiting for her in the car park, but she feels very hot and that her heart feels like it is beating very fast. She asks you for a bottle of cold water and a chair.
Jessie's previous observation records (on a clinical chart) are: Date 23rd March 2020 :BP, Pulse, RR, Temp ,110/60 ,70, 14, 36.8
24th March 2020: 112/60 74 12 36.6
What you need to do in your clinical reasoning report Provide a concise summary of Jessie's situation as an introduction to your report (approximately 50 words) - what pertinent information would someone reading your report need to know about who Jessie is and the context of this scenario? List the objective and subjective data (cues) that you have gathered from reviewing the information provided above (approx. 50 words) Analyse and interpret the identified cues and explain the assessment findings in relation to Jessie's context (approx. 450 words) To do this successfully, you should: categorise the cues and identify what elements are normal or abnormal, and compare the current situation and vital signs with previous health information known about Jessie, and recall and apply knowledge of anatomy and principles of physiology (including concepts of homeostasis and the body's responses to physical activity) to explain her vital signs and other cues. Then propose what further cues you want to collect and explain why these are relevant and important to the situation (approx. 450 words) To do this successfully, you will need to form a logical opinion about what the further cues should be, when you would undertake the assessments to collect these cues (e.g. after some immediate actions for Jessie) and why these cues should be assessed. Relate your justification to Jessie's situation AND to the principles of anatomy and normal physiology (focusing on homeostasis). Suggestions for structuring your clinical reasoning report There is no set template for how you have to structure your report as long as the sequence of the information that you present flows logically and the reader can follow your clinical reasoning as it unfolds. The following suggestions are based on answers to frequently asked questions: Section headings can be a helpful signpost for how you have applied the clinical reasoning process. You may choose to use some of the keywords from the phases of the clinical reasoning cycle (e.g. Patient Situation, Cue Collection and Processing Information, Further Cue Collection) or any other headings are also fine. You may use a table to present the objective and subjective cues that you have gathered and which elements are normal or abnormal if you wish. In this particular assignment, information included in a table will contribute to the overall word count. The majority of your report will need to be sentences organised into paragraphs, not just a list of dot points. When explaining something, such as the assessment findings, you need to make the reasons for how they came to be the way they are clear to the reader. Paragraphs will allow you to make the relationships between things evident, whereas a dot point format can sometimes appear as a list of facts without the necessary connections for explaining something. As you are the student nurse in the scenario, you may write your report using 'first person' tense. This would be useful in the section of your report where you propose what further cues you want to collect and when you would undertake the assessments e.g. "I would ask Jessie...". Writing in first person is not mandatory so if you are more comfortable writing objectively in the 'third person' (removing personal pronouns from your writing), then you can do so as long as it flows logically! You may use accepted clinical abbreviations in your report, but be sure to introduce all abbreviations the first time that you use them e.g. blood pressure (BP), heart rate (HR), respiratory rate (RR) You are required to use relevant scholarly sources of information (textbooks, journal articles, evidence-based practice guidelines or clinical care standards) to support your analysis of your patient’s health information. A health assessment and/or anatomy and physiology textbook will be useful. The UTAS Library Guide for Health and Medicine is a helpful starting point for how to find other scholarly sources of information. There is no set number of references required, but the references which you use should be of an academic source and used appropriately to support your work. Ensure that you express your writing in your own words to demonstrate your understanding of the patient's situation and reference all sources of information, both in-text and a reference list at the end of the report, using the Harvard referencing style. Assessment criteria and marking rubric Your clinical reasoning report will be assessed against the following criteria: Apply a beginner's level of clinical reasoning to assess and interpret health information in relation to the patient's context. Apply knowledge of anatomy and principles of physiology to explain assessment findings in relation to the patient's context. Apply a beginner's level of clinical reasoning to propose and justify further cues that are to be collected in relation to the patient's context. Communicate using academic writing conventions with references to scholarly sources of information that conform to the Harvard referencing style.
In: Nursing
Today is November 1, 2020. You, CPA, have just been hired by Custom Auto Parts (CAP) as an accountant to provide financial expertise during its current expansion. CAP was founded in 1995 by Jerome Blackman (sole shareholder), and CAP has remained a private corporation ever since. From its humble beginnings, CAP has grown substantially. CAP's operations focus on the production of both standard and unique car parts. CAP always strives to use modern technology to produce quality car parts. When CAP commenced, it produced car parts for Canadian automotive companies that were seeking to outsource their production. Soon after, as word spread on the quality of its parts, CAP's products were being sought after by companies outside of Canada. In addition, CAP began selling its to individuals who were looking for unique car parts to restore older cars.
As a car buff, you are very excited about the position as it allows you to apply your accounting knowledge in an industry that interests you. On your first day, you met with CAP's CFO, Robert Ryder. Robert begins by explaining how excited he is that you have joined CAP's team and he looks forward to the expertise that you will bring to CAP's accounting department.
Robert continues by explaining that as CAP has grown, so has its on external financing. Just this year, CAP had purchased additional equipment to handle its recent growth. CAP has had a long-standing relationship with its bank. However, given the recent credit crisis, the bank has changed its policies on all loans. Robert has provided you with a copy of CAP's statement of financial position (see Exhibit I) as at October 31, 2020, which is CAP's fiscal year-end date.
Exhibit I ( CAP's FINANCIAL POSITION)
Custom Auto Parts
Statement of Financial Position
as at October 31
Assets
current assets 2020 2019
Cash $ 35,000 $ 20,000
Accounts receivable 13,000 10,000
Inventory 20,000 12,000
Prepaids 3,000 3,000
Total current assets 71,000 45,000
Property, plant, and equipment (net) 2,800,000 2,200,000
Total assets 2,871,000 2,245,000
Liabilities
Current liabilities
Accounts payable 25,000 20,000
Notes payable 13,000 25,000
Current portion of long-term debt 150,000 50,000
188,000 95,000
Long-term debt 1,800,000 1,450,000
Total liabilities 1,988,000 1,545,000
Shareholders's equity
Share capital 100 100
Preferred shares 100,000 100,000
Retained earnings 782,900 599,900
Total equity 883,000 700,000
Total liabilities and shareholders equity $2,871,000 $2,245,000
Debt equity 2.67 2.21
After the meeting, Robert asks you to analyze the new accounting issues surrounding CAP and to provide recommendations on their resolution. He concludes by reminding you that the bank is eager to see the year-end financial statements. As you make your way back to your desk, you begin by reviewing a file outlining important transactions undertaken by CAP. You note the following issues:
1. On November 1, 2019 (the beginning of the fiscal year), CAP acquired a of its equipment through a lease agreement with Lessor Corp. The lease contract has the following terms and conditions:
· CAP agrees to lease equipment from Lessor Corp. with a fair market value of $900,000
· The term of the lease is for seven years, with annual rental payments of $145,000 due at the beginning of each year. CAP knows the implicit interest rate on the lease agreement is 5%. CAP knows that it could borrow at an incremental rate of 6%.
· There is no residual value.
· CAP will cover the executory costs associated with the lease. The executor costs will be approximately $10,000 per annum and are included as part of the $145,000 rental payment.
· The lease offers a bargain purchase option to purchase the equipment for $50,000 at the end of the seventh year. At the end of year seven, the fair market value of the asset is expected to be $70,000.
· The first payment was made on November 1, 2019, with annual payments thereafter. You remember from auditing a client in the past that equipment such as this usually has an economic life of nine years. CAP has classified this lease as an operating lease. You remember from your discussion with Robert that he was unsure of the benefits of leasing versus buying an asset. This information is for Robert for any future capital budgeting decisions.
2. After reviewing the statement of financial position, you notice that there are preferred shares valued at $100,000, which equals a total of 1,000 shares outstanding. The preferred shares are redeemable and have a 5% annual dividend. The dividend will double every three years up to a maximum 20% dividend yield. The preferred shares convertible into common shares if CAP does not pay the specified dividend on the preferred shares.
3. The file also contained a letter from CAP's lawyer (Stonechild, Pilla, and Partners). The letter from the lawyers explained a current lawsuit undertaken against CAP. Apparently, a customer had asked for 50,000 parts to be produced and delivered no later than July 15, 2020. However, due to major downtime in July, CAP could not produce the parts as scheduled. In turn, the customer was late in delivering its vehicles to its distributors and had to pay a penalty equivalent of $600,000. This customer is now suing CAP for retribution for these costs. The letter goes on to state that retribution will be inevitable; however, it is believed that a settlement between $350,000 to $550,000 can be reached.
4. On November 1, 2019, an additional $500,000 of long-term loan was taken out to help finance the purchase of certain manufacturing equipment for $600,000. (Note: the additional $100,000 was paid for with cash.) Given this new loan and CAP's revised debt load, CAP must now maintain a maximum debt to equity ratio of 3:1 and its financial statements must comply with ASPE. If CAP breaches the covenant, the bank has the ability to call for the loan in full.
The manufacturing equipment that was purchased during the year will be depreciated over 10 years. It is classified as class 39 and has a CCA rate of 25%. CAP is taxed at the highest rate of 45%, and the half-year rule applies. Robert explained that CAP has not taken any consideration for potential tax consequences on the equipment purchase. (Note: for simplicity, assume that all other future tax considerations have been properly addressed.)
After reviewing this information, you realize that you have much to contemplate as to how these issues should dealt with.
Required
Provide a report to Robert outlining your recommendation on the accounting issues and note other important issues.
In: Accounting
The Hidden Student Loan Debt Problem
Much outrage has been expressed over the difficulty U.S. college students and recent graduates are facing because of their student loan debt. Since the recession began in 2008, the amount of student loan debt has spiked by 84 percent, with borrowers owing a record $1.2 trillion. Nearly 40 million Americans have at least one outstanding student loan, according to new research by Experian. But is the problem as dire as some make it out to be?
Today, the average student owes about $28,000 on student loans. That is a big number, but a recent article in Forbes used some comparisons to help put that number into perspective. For example, the average American car loan is $27,000 and purchasing a car does not deliver the high return on investment that a four-year college education does. The U.S. Census Bureau estimates that over an adult’s working life, someone with a bachelor’s degree can expect to earn nearly an extra million dollars on average compared with someone with only a high school diploma. Similarly, the average home mortgage loan in the U.S. is now over $280,000. Some observers have suggested that student loan debt may prevent young people from purchasing cars or homes and hence is a serious problem. That may be true to some extent, but I argue that the real problem today is wage stagnation, which adds years to when borrowers can pay off their student loans and does much more to limit their opportunities in life.
Please understand that I am not downplaying the hardships of student loan debt or the seriousness of the rising cost of education. A college education has become part of the American dream, right up there with home ownership and apple pie — and rightly so. Years ago, government programs were created to subsidize student loans to honor the belief in higher education and recent proposals aimed at forgiving or reducing student loan borrowing seem to echo the same sentiment.
Let’s review some recent legislation and proposals. A law signed by President George W. Bush to provide forgiveness of student loans for people going into public service for 10 years will begin helping people in 2017. Other officials are working to provide even more support to indebted students. Senator Elizabeth Warren (D-MA) developed the Bank on Students Emergency Loan Refinancing Act, which allows borrowers to refinance their student debt at today’s lower interest rates. Such refinancing is already commonplace with mortgages and cars, but has not been easily available in the student loan sector. The Obama administration estimates that the bill has the potential to help 25 million borrowers to save about $2,000 over the lifetime of their loans. Earlier this summer, the bill was blocked in the Senate, primarily because it would require the imposition of new taxes or the loss to the federal government of $60 billion in student loan interest payments over the next decade.
In truth, while the amount of student loan debt is concerning, it’s not the most serious problem facing college students and recent graduates. When adjusted for inflation, student loan debt has increased, but, as noted, it is about the size of a car loan on average. While horror stories have been reported about individuals who borrowed massive amounts to finance multiple degrees in fields offering few jobs, that problem is connected to factors beyond the availability of loans. A critical problem today is the stagnation of wages, which makes people take longer to pay back loans. Politicians overlook this and often focus on symptoms of the problem. This diverts attention from the stagnant economy and the reduction of public funding for higher education, which is being felt in many states, including Pennsylvania.
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Colleges do play a role in the problem, both for increasing costs so rapidly and for facilitating situations in which students can earn degrees that offer few opportunities in the job market. In an era of global markets, where jobs are often mobile and technology has automated many functions, colleges have not uniformly adjusted their standard model to ensure that students receive adequate preparation for work. While it is fine for university officials to say that they wish to educate students for their career and not their first job, it is imperative for colleges to provide career skills that allow students to find employment by using the critical thinking skills and other attributes provided in a traditional liberal arts education.
It is also essential for colleges to supplement the student experience in ways that enhance the employability of graduates. For example, a recent Gallup study showed that students who have strong relationships with faculty and mentors and have access to experiences that allow them to apply what is discussed in the classrooms (through internships, cooperative education programs, and other real-world and experience-based learning practices) are more successful in their careers and happier in life. Gallup identified six specific attributes and concluded that only three percent of the respondents strongly agreed that they had exposure to all six.
I am not saying that student loan indebtedness should be ignored. It is a problem, but it is less serious than other related problems. It is a symptom of a vicious cycle: State governments have reduced funding for higher education, which pushes tuition higher. Government-guaranteed student loans provide options for students to deal with higher college costs. Colleges use the increased tuition revenue to ensure budgets are met. There is inadequate pressure on colleges to emphasize job placement outcomes. Students and graduates have problems repaying the loans.
We are at a crossroads and must employ different solutions to address student loan debt. For their part, colleges must provide students with the necessary skills to be employable — even if it requires changing the traditional educational focus by adding career-focused majors in the liberal arts. Government must support higher education through consistent funding and by applying common sense to a variety of government-supported loan programs — for example, let people consolidate loans and set reasonable caps on the maximum amount that can be borrowed with a government guarantee. Society should recognize that some students will benefit more from a technical education program than a traditional college. Most importantly, government needs to stimulate wage growth, as this will lessen the problems of student loan debt much more effectively than will the creation of new legislation to forgive debt or the creation of new bureaucracies for monitoring colleges.
My q/s :- Student Loan. Is it worth it?
After reading above article post substantive comments on the student loan issue based on.(150-200)word
In: Economics
0. Introduction.
This laboratory assignment involves implementing a data structure called a map. A map associates objects called keys with other objects called values. It is implemented as a Java class that uses arrays internally.
1. Theory.
A map is a set of key-value pairs. Each key is said to be associated with its corresponding value, so there is at most one pair in the set with a given key. You can perform the following operations on maps.
You can test if a key has a value in the map.
You can add a new key-value pair to the map.
You can get the value that is associated with a given key.
You can change the value that is associated with a given key.
For example, the keys might be String’s that are the English
words for numbers. The values might be Integer’s that are the
numbers corresponding to those words. If you give the map an
English word (like "ten") then you can get back its corresponding
number (like 10).
The maps for this assignment use
arrays, and they work by doing linear search on those arrays. As a
result, if a map has n pairs, then its operations may need
at most O(n) key comparisons. However, there are
better ways to implement maps, using data structures that we have
not yet discussed in this course. These require only O(log
n) or even O(1) key comparisons.
2. Implementation.
You must write a Java class called Map that implements a map. To simplify grading, your class must use the same names for things that are given here. Your class Map must have two generic class parameters, Key and Value, so it looks like this. Here Key is the type of the map’s keys, and Value is the type of the map’s values.
class Map<Key, Value>
{
⋮
}
Within the class Map, you must have two private arrays called
keys and values. The array keys must be an array whose base type is
the class parameter Key. The array values must be an array whose
base type is the class parameter Value. Suppose that a key
k is found at the index i in the array keys. Then
the value associated with k is found at the same index
i in the array values. Do not try to use only one array,
because that will not work.
You must also have a private integer
variable called count that records how many elements of the arrays
are being used. You may also need other private variables that are
not mentioned here.
Your class must have the following
methods. Most of them use count, keys, and values somehow. Some
methods are public and others are private. The private methods are
helpers for the public methods; they may make your code easier to
write. Also, any key may be null, and any value may be null. This
will affect how you test if keys are equal.
public Map(int length)
Constructor. If length is less than 0 then you must throw an IllegalArgumentException. Otherwise, initialize an empty Map whose keys and values arrays have length elements. (Recall that you must make arrays of Object’s, then cast them to the appropriate types.)
public Value get(Key key)
Search the array keys for an element that is equal to key. If that element is at some index in keys, then return the element at the same index in the array values. If there is no element equal to key in keys, then throw an IllegalArgumentException.
private boolean isEqual(Key leftKey, Key rightKey)
Test if leftKey is equal to rightKey. Either or both may be null. This method is necessary because you must use == when leftKey or rightKey are null, but you must use the equals method when both are not null. (Recall that null has no methods.)
public boolean isIn(Key key)
Test if there is an element in keys that is equal to key.
public void put(Key key, Value value)
Search the array keys for an element that is equal to key. If that element is at some index in keys, then change the element at the same index in values to value. If there is no element in keys that is equal to key, then add key to keys, and add value at the same index in values. If keys and values are full, so you cannot add key and value, then throw an IllegalStateException.
private int where(Key key)
Search the array keys for an element that is equal to key. Return the index of that element. If there is no element equal to key in keys, then return −1.
When you compile your program, you may see the following ‘‘warning’’ messages from javac. Ignore them. As discussed in the lectures, these messages appear because Java does not implement class parameters (the names between < and >) correctly.
Note: your file name.java uses unchecked or unsafe
operations.
Note: recompile with -Xlint:unchecked for details.
The file tests5.java on Canvas contains Java code that performs a series of tests, worth 40 points. Each test calls a public method from your class Map, and prints what the method returns. Each test is also followed by a comment that tells how many points it is worth, and what it must print if it works correctly. You may want to run additional tests, but you don’t get points for those.
Using this code: (test5.java)
class Hogwarts
{
// MAIN. Make an instance of MAP and test it.
public static void main(String [] args)
{
Map<String, String> map;
try
{
map = new Map<String, String>(-5);
}
catch (IllegalArgumentException ignore)
{
System.out.println("No negatives"); // No negatives 2 points.
}
map = new Map<String, String>(5);
map.put("Harry", "Ginny");
map.put("Ron", "Lavender");
map.put("Voldemort", null);
map.put(null, "Wormtail");
System.out.println(map.isIn("Harry")); // true 2 points.
System.out.println(map.isIn("Ginny")); // false 2 points.
System.out.println(map.isIn("Ron")); // true 2 points.
System.out.println(map.isIn("Voldemort")); // true 2 points.
System.out.println(map.isIn(null)); // true 2 points.
System.out.println(map.isIn("Joanne")); // false 2 points.
System.out.println(map.get("Harry")); // Ginny 2 points.
System.out.println(map.get("Ron")); // Lavender 2 points.
System.out.println(map.get("Voldemort")); // null 2 points.
System.out.println(map.get(null)); // Wormtail 2 points.
try
{
System.out.println(map.get("Joanne"));
}
catch (IllegalArgumentException ignore)
{
System.out.println("No Joanne"); // No Joanne 2 points.
}
map.put("Ron", "Hermione");
map.put("Albus", "Gellert");
map.put(null, null);
System.out.println(map.isIn(null)); // true 2 points.
System.out.println(map.isIn("Albus")); // true 2 points.
System.out.println(map.get("Albus")); // Gellert 2 points.
System.out.println(map.get("Harry")); // Ginny 2 points.
System.out.println(map.get("Ron")); // Hermione 2 points.
System.out.println(map.get("Voldemort")); // null 2 points.
System.out.println(map.get(null)); // null 2 points.
try
{
map.put("Draco", "Pansy");
}
catch (IllegalStateException minnesota)
{
System.out.println("No Draco"); // No Draco 2 points.
}
}
}
In: Computer Science
Mando Paints (MAPS) Mando
Paints (MAPS)) manufactures a paint additive that has been very
successful in the metallic paint line of automotive paints. The
company prides itself in making the paints that car owners buy
better. MAPS is in the process of preparing its 2019 fiscal year
master budget and has presented you with the following information.
The company has a December 31st fiscal year-end.
1. The budgeted December 31, 2018 balance sheet for the company is
shown below.
MAPS Limited Budgeted Balance Sheet December 31, 2018
Assets Liabilities &
Stockholders' Equity
Cash $ 5,080 Accounts
payable
$ 2,148 Accounts receivable (net)
26,500 Dividends payable 30,000 Raw
materials inventory
800 Notes payable (Due Feb. 28, 2017) 35,000 Finished
goods
inventory
2,104 Prepaid insurance
1,200 Total liabilities $
67,148 Factory Building & Equipment
$300,000 Common stock $100,000
Accumulated Retained
earnings 148,536
248,536
depreciation (20,000)
280,000
Total Liabilities & Total assets
$315,684 Stockholders'
Equity
$315,684
2. The Accounts Receivable balance at 12/31/18 represents the
remaining balances of November and December credit sales, net of
any allowance for doubtful accounts. Sales were (would be) $70,000
and $65,000, respectively, in those two months.
3. Estimated sales in units for January through May 2019 are shown
below. January 10,000 February
12,000 March 13,000 April
11,000 May 10,000
Currently, each unit sells for $12. The
company expects the selling price to increase to $13 per unit from
March 1, 2019.
MAPS ... continued
MAPS continued 4. The collection pattern
for accounts receivable is as follows: 68% in the month of sale;
20% in the first month after the month of sale; 10% in the second
month after the month of sale. The remaining 2% of credit sales are
never collected. The company expects to achieve a 70-20-8
collection pattern starting with the March 2019 sales.
5. Each unit of additive has the following standard quantities and
costs for direct materials and direct labor: 1.2 pounds
of direct materials at $.80 per pound
15 minutes of direct labour at $12 per hour
Direct material costs and direct labor costs are expected to
increase by 15% as from March 1, 2019. Variable overhead is applied
to the product on a machine hour basis. It takes 12 minutes of
machine time to process one unit of finished additive. The variable
overhead rate is $1.5 per machine hour. The rate will increase to
$2.25 per machine hour from March 1, 2019. Total annual fixed
overhead is budgeted at $120,000; it is applied to the production
of the month at $1.00 per unit based on an expected annual
production of 120,000 units. Budgeted fixed overhead per year is
made up of the following costs:
Salaries $ 72,000
Utilities
20,400 Insurance -
factory 2,400
Depreciation- factory building & equipment
25,200 Total
$120,000
Actual fixed overhead is incurred evenly throughout the year and
payments for fixed overhead are also made evenly throughout the
year, if necessary. For periodic financial statements, any
under-applied overhead is added to expenses and any over-applied
overhead is deducted from expenses.
6. There is no beginning inventory of Work in Process. All work in
process is completed in the period in which it is started. Direct
materials inventory at the beginning of 2019 will consist of 1,000
pounds at a standard cost of $.80 per pound. There will be 400
units of additive in finished goods inventory at the beginning of
2019 carried at a standard cost of $5.26 per unit: Direct
Materials, $.96; Direct Labor, $3.00; Variable Overhead, $.30; and
Fixed Overhead, $1.00.
7. Accounts Payable relates solely to direct materials purchases.
All direct material purchases are initially on account. Accounts
payable are paid 60% in the month of purchase and 40% in the month
after purchase. No discounts are received for prompt payment.
Starting with its March 2019 purchases, the company will be making
payments on accounts payable at 50% in the month of purchase and
50% in the month after purchase.
8. Any outstanding dividends payable will be paid at the end of
January 2019.
9. A new piece of equipment costing $50,000 will be purchased on
March 31, 2019. Payment for 80% of the cost will be made in March
and 20% in May. The equipment will have a ten-year useful life and
no residual value.
10. The note payable has an 8% interest rate; interest is paid at
the end of each month.
MAPS ... continued
3
MAPS continued
11. MAPS's management has set a minimum cash balance at $6,000.
Borrowing (repayments) can be made in even $1000 amounts from (to)
the Cedi Bank at an interest rate of 6% per year. Borrowing (if
necessary in the month) will be at the beginning of the month while
repayment (when the company is in a position to do so) will be at
the end of the month. Interest on any borrowing must be paid
monthly at the end of the month.
12. The ending inventory of finished goods should be 10% of the
next month's sales requirements. The ending inventory of raw
materials should be 10% of the raw materials required for the next
month's production. These requirements may not be met on January 1,
2019, but must be met during the budgeting period.
13. Fixed selling and administrative expenses per month are as
follows: salaries, $15,000; rent, $9,000; and utilities and office
expenses, $1,500. These costs are paid in cash in the month in
which they are incurred.
Required: Prepare an appropriate report to MAPS’s management
detailing the company’s budgeted activities for the first quarter
of 2019. Budgeted information should be provided for each month,
and the quarter as a whole, in columnar form. The following
component budgets must be included (and submitted): a. Sales budget
b. Production budget c. Direct materials purchases budget d. Direct
labor budget e. Manufacturing Overhead budget f. Cost of Goods
manufactured budget g. Finished goods budget h. Cost of goods sold
budget i. Selling and administrative expenses budget j. Budgeted
Income Statement k. Cash budget
Also to be provided is a Budgeted Balance Sheet. Unlike the other
requirements above, the Budgeted Balance Sheet submitted should be
ONLY the one at the end of the first quarter of the 2019 fiscal
year.
All hand-in materials must be computer generated (spreadsheets for
your budgets and word processors for other write-ups).
In a note presenting your work to management, please draw
management’s attention to any significant parts of your report
(this note to management should not be more than one
page).
In: Accounting
3. Go to federalreserve.gov and choose a currency that has historical data under "Country Data."
Data below is for South African Rand. I need assistance with questions and creating a chart.
| 1-Jan-20 | ND |
| 2-Jan-20 | 14.1220 |
| 3-Jan-20 | 14.2430 |
| 6-Jan-20 | 14.2060 |
| 7-Jan-20 | 14.3010 |
| 8-Jan-20 | 14.1560 |
| 9-Jan-20 | 14.2000 |
| 10-Jan-20 | 14.2550 |
| 13-Jan-20 | 14.4220 |
| 14-Jan-20 | 14.3970 |
| 15-Jan-20 | 14.3670 |
| 16-Jan-20 | 14.3770 |
| 17-Jan-20 | 14.4670 |
| 20-Jan-20 | ND |
| 21-Jan-20 | 14.4680 |
| 22-Jan-20 | 14.3380 |
| 23-Jan-20 | 14.4180 |
| 24-Jan-20 | 14.4250 |
| 27-Jan-20 | 14.6080 |
| 28-Jan-20 | 14.5660 |
| 29-Jan-20 | 14.6250 |
| 30-Jan-20 | 14.7879 |
| 31-Jan-20 | 14.9360 |
| 3-Feb-20 | 14.9100 |
| 4-Feb-20 | 14.7470 |
| 5-Feb-20 | 14.7980 |
| 6-Feb-20 | 14.9010 |
| 7-Feb-20 | 15.0620 |
| 10-Feb-20 | 15.0190 |
| 11-Feb-20 | 14.8510 |
| 12-Feb-20 | 14.8180 |
| 13-Feb-20 | 14.8870 |
| 14-Feb-20 | 14.9000 |
| 17-Feb-20 | ND |
| 18-Feb-20 | 14.9750 |
| 19-Feb-20 | 14.9800 |
| 20-Feb-20 | 15.1180 |
| 21-Feb-20 | 14.9660 |
| 24-Feb-20 | 15.1280 |
| 25-Feb-20 | 15.2000 |
| 26-Feb-20 | 15.1760 |
| 27-Feb-20 | 15.3920 |
| 28-Feb-20 | 15.6360 |
| 2-Mar-20 | 15.5370 |
| 3-Mar-20 | 15.2930 |
| 4-Mar-20 | 15.3480 |
| 5-Mar-20 | 15.5780 |
| 6-Mar-20 | 15.6350 |
| 9-Mar-20 | 15.9330 |
| 10-Mar-20 | 16.1030 |
| 11-Mar-20 | 16.1516 |
| 12-Mar-20 | 16.5310 |
| 13-Mar-20 | 16.3240 |
| 16-Mar-20 | 16.5330 |
| 17-Mar-20 | 16.5850 |
| 18-Mar-20 | 17.0960 |
| 19-Mar-20 | 17.3721 |
| 20-Mar-20 | 17.5000 |
| 23-Mar-20 | 17.7550 |
| 24-Mar-20 | 17.6550 |
| 25-Mar-20 | 17.4000 |
| 26-Mar-20 | 17.2768 |
| 27-Mar-20 | 17.5550 |
| 30-Mar-20 | 17.9450 |
| 31-Mar-20 | 17.7682 |
| 1-Apr-20 | 18.1450 |
| 2-Apr-20 | 18.5312 |
| 3-Apr-20 | 18.9850 |
| 6-Apr-20 | 18.6740 |
| 7-Apr-20 | 18.2220 |
| 8-Apr-20 | 18.2108 |
| 9-Apr-20 | 17.9030 |
| 10-Apr-20 | 18.0158 |
| 13-Apr-20 | 18.1400 |
| 14-Apr-20 | 18.3570 |
| 15-Apr-20 | 18.7320 |
| 16-Apr-20 | 18.6680 |
| 17-Apr-20 | 18.8500 |
| 20-Apr-20 | 18.8060 |
| 21-Apr-20 | 18.9650 |
| 22-Apr-20 | 19.0070 |
| 23-Apr-20 | 19.0400 |
| 24-Apr-20 | 18.9720 |
| 27-Apr-20 | 18.8510 |
| 28-Apr-20 | 18.6580 |
| 29-Apr-20 | 18.2510 |
| 30-Apr-20 | 18.4480 |
| 1-May-20 | 18.8500 |
| 4-May-20 | 18.7040 |
| 5-May-20 | 18.3880 |
| 6-May-20 | 18.7700 |
| 7-May-20 | 18.5210 |
| 8-May-20 | 18.3600 |
| 11-May-20 | 18.3890 |
| 12-May-20 | 18.2780 |
| 13-May-20 | 18.5210 |
| 14-May-20 | 18.5640 |
| 15-May-20 | 18.5400 |
| 18-May-20 | 18.3830 |
| 19-May-20 | 18.2650 |
| 20-May-20 | 17.9599 |
| 21-May-20 | 17.6530 |
| 22-May-20 | 17.7010 |
| 25-May-20 | ND |
| 26-May-20 | 17.4040 |
| 27-May-20 | 17.4180 |
| 28-May-20 | 17.4130 |
| 29-May-20 | 17.5960 |
| 1-Jun-20 | 17.4000 |
| 2-Jun-20 | 17.1950 |
| 3-Jun-20 | 16.8900 |
| 4-Jun-20 | 16.9310 |
| 5-Jun-20 | 16.8360 |
| 8-Jun-20 | 16.7900 |
| 9-Jun-20 | 16.6810 |
| 10-Jun-20 | 16.5560 |
| 11-Jun-20 | 17.0834 |
| 12-Jun-20 | 17.0110 |
| 15-Jun-20 | 17.2650 |
| 16-Jun-20 | 17.1525 |
| 17-Jun-20 | 17.2200 |
| 18-Jun-20 | 17.4850 |
| 19-Jun-20 | 17.3375 |
| 22-Jun-20 | 17.3350 |
| 23-Jun-20 | 17.2275 |
| 24-Jun-20 | 17.4050 |
| 25-Jun-20 | 17.2375 |
| 26-Jun-20 | 17.2625 |
| 29-Jun-20 | 17.3000 |
| 30-Jun-20 | 17.3525 |
| 1-Jul-20 | 17.0800 |
| 2-Jul-20 | 16.9675 |
| 3-Jul-20 | ND |
| 6-Jul-20 | 16.9750 |
| 7-Jul-20 | 17.0775 |
| 8-Jul-20 | 16.9750 |
| 9-Jul-20 | 16.9125 |
| 10-Jul-20 | 16.7475 |
| 13-Jul-20 | 16.6900 |
| 14-Jul-20 | 16.7500 |
| 15-Jul-20 | 16.5850 |
| 16-Jul-20 | 16.6400 |
| 17-Jul-20 | 16.6575 |
| 20-Jul-20 | 16.6700 |
| 21-Jul-20 | 16.4600 |
| 22-Jul-20 | 16.4550 |
| 23-Jul-20 | 16.5475 |
| 24-Jul-20 | 16.6925 |
| 27-Jul-20 | 16.4175 |
| 28-Jul-20 | 16.5425 |
| 29-Jul-20 | 16.5000 |
| 30-Jul-20 | 16.9125 |
| 31-Jul-20 | 17.0050 |
| 3-Aug-20 | 17.1925 |
| 4-Aug-20 | 17.3775 |
| 5-Aug-20 | 17.3175 |
| 6-Aug-20 | 17.4575 |
| 7-Aug-20 | 17.6325 |
| 10-Aug-20 | 17.6850 |
| 11-Aug-20 | 17.5350 |
| 12-Aug-20 | 17.3975 |
| 13-Aug-20 | 17.4175 |
| 14-Aug-20 | 17.3475 |
| 17-Aug-20 | 17.4600 |
| 18-Aug-20 | 17.3525 |
| 19-Aug-20 | 17.1800 |
| 20-Aug-20 | 17.2750 |
| 21-Aug-20 | 17.1275 |
| 24-Aug-20 | 16.9300 |
| 25-Aug-20 | 16.8625 |
| 26-Aug-20 | 16.9675 |
| 27-Aug-20 | 17.0025 |
| 28-Aug-20 | ND |
| 31-Aug-20 | 16.9150 |
| 1-Sep-20 | 16.6300 |
| 2-Sep-20 | 16.8325 |
| 3-Sep-20 | 16.7775 |
| 4-Sep-20 | 16.6025 |
In: Finance
CASE study Electricity Generation
Case study 8.1: Electricity generation
Electricity Generation
Here and now
Distributed power generation will end the long-distancetyranny of the grid. For decades, control over energy has been deemed too important to be left to the markets. Politicians and officials have been dazzled by the economies of scale promised by ever bigger power plants, constructed a long way from consumers. They have put up with the low efficiency of those plants, and the environmental harm they do, because they have accepted that the generation, transmission and distribution of power must be controlled by the government or another monopoly. Yet in the beginning things were very different. When Thomas Edison set up his first heat-and-power co-generation plant near Wall Street more than 100 years ago, he thought the best way to meet customers’ needs would be to set up networks of decentralised power plants in or near homes and offices. Now, after a century that saw power stations getting ever bigger, transmission grids spreading ever wider and central planners growing ever stronger, the wheel has come full circle.
The bright new hope is micropower, a word coined by Seth Dunn of the WorldWatch Institute in an excellent report.* Energy prices are increasingly dictated by markets, not monopolies, and power is increasingly generated close to the end-user rather than at distant stations. Edison’s dream is being The new power plants of choice the world over are using either natural gas or renewable energy, and are smaller, nimbler, cleaner and closer to the end-user than the giants of yesteryear. That means power no longer depends on the vagaries of the grid, and is more responsive to the needs of the consumer. This is a compelling advantage in rich countries, where the digital revolution is fuelling the thirst for highquality, reliable power that the antiquated grid seems unable to deliver. California provides the best evidence: although the utilities have not built a single power plant over the past decade, individuals and companies have added a whopping 6gW of nonutility micropower over that period, roughly the equivalent of the states installed nuclear capacity. The argument in favour of micropower is even more persuasive in developing countries, where the grid has largely failed the poor. This is not to say that the existing dinosaurs of power generation are about to disappear. Because the existing capital stock is often already paid for, the marginal cost of running existing power plants can be very low. That is why America’s coal-fired plants, which produce over half the country’s power today, will go on until the end of their useful lives, perhaps decades from now – unless governments withdraw the concessions allowing them to exceed current emissions standards.
While nobody is rushing to build new nuclear plants, old ones may have quite a lot of life left in them if they are properly run, as the success of the Three Mile Island nuclear power plant in Pennsylvania attests. After the near-catastrophic accident in 1979 that destroyed one of the plant’s two reactors, the remaining one now boasts an impressive safety and financial record. Safety and financial success are intimately linked, says Corbin McNeill, chairman of Exelon and the current owner of the revived plant. He professes to be an environmentalist, and accepts that nuclear power is unlikely to be the energy of choice in the longer term: ‘A hundred years from now, I have no doubt that we will get our energy using hydrogen.’ But he sees nuclear energy as an essential bridge to that future, far greener than fossil fuels because it emits no carbon dioxide.
GOOD OLD GRID
The rise of micropower does not mean that grid power is dead. On the contrary, argues CERA, a robust grid may be an important part of a micropower future. In poor countries, the grid is often so shoddy and inadequate that distributed energy could well supplant it; that would make it a truly disruptive technology. However, in rich countries, where nearly everyone has access to power, micropower is much more likely to grow alongside the grid. Not only can the owners of distributed generators tap into the grid for back-up power, but utilities can install micropower plants close to consumers to avoid grid bottlenecks. However, a lot of work needs to be done before any of this can happen. Walt Patterson of the Royal Institute of International Affairs, a British think-tank, was one of the first to spot the trend toward micropower. He argues that advances in software and electronics hold the key to micropower, as they offer new and more flexible ways to link parts of electricity systems together. First, today’s antiquated grid, designed when power flowed from big plants to distant consumers, must be upgraded to handle tomorrow’s complex, multi-directional flows. Yet in many deregulated markets, including America’s, grid operators have not been given adequate financial incentives to make these investments. To work effectively, micropower also needs modern command and communications software. Another precondition is the spread of real-time electricity meters to all consumers. Consumers who prefer stable prices will be able to choose hedged contracts; others can buy and sell power, much as day traders bet on shares today. More likely, their smart micropower plants, in cahoots with hundreds of others, will automatically do it for them.
In the end, though, it will not be the technology that determines the success of distributed generation, but a change in the way that people think about electricity. CERA concludes that for distributed energy, that will mean the transition from an equipment business to a service business. Already, companies that used to do nothing but sell equipment are considering rental and leasing to make life easier for the user. Forward-looking firms such as ABB, a Swiss- Swedish equipment supplier, are now making the shift from building centralised power plants to nurturing micropower. ABB is already working on developing ‘microgrids’ that can electronically link together dozens of micropower units, be they fuel cells or wind turbines. Kurt Yeager of the Electric Power Research Institute speaks for many in the business when he sums up the prospects: ‘ Today ’s technological revolution in power is the most dramatic we have seen since Edison’s day, given the spread of distributed generation, transportation using electric drives, and the convergence of electricity with gas and even telecoms. Ultimately, this century will be truly the century of electricity, with the microchip as the ultimate customer.’
* ‘Micropower: the next electrical era’, by Seth Dunn.WorldWatch Institute, 2000
Questions
(a) Explain why power generation has traditionally been a monopoly in all developed countries.
(b) Why is it easy for the operators to exploit consumers in this market?
(c) What is the nature of barriers to entry in the market?
(d) How is the transmission grid related to a monopolistic market structure?
In: Economics
PROGRAM DESCRIPTION:
In this assignment, you are provided with working code that does
the following:
1. You input a sentence (containing no more than 50
characters).
2. The program will read the sentence and put it into an array of
characters.
3. Then, it creates one thread for each character in the
sentence.
4. The goal of the program is to capitalize on each letter that has
an odd index.
The given program actually does this but lacks the synchronization
of the threads, so
the output is not correct. You will need to provide the
synchronization using mutex
locks. Specifically, you are to (1) declare the mutex lock, (2)
initialize the mutex lock, (3)
lock and unlock the mutex lock at an appropriate location that
results in the code
working as expected, and (4) destroy the mutex lock. Be sure to
place the mutex locks
so that your program works correctly every time. Do not remove code
or functions – you
are to add the synchronization pieces only.
When compiling using the GNU C compiler, be sure to include the
–lpthread flag
option.
SAMPLE OUTPUT (user input shown in bold green):
$ ./a.out
Please enter a phrase (less than 50 characters): when all
else
fails, read the instructions
The original sentence is: when all else fails, read the
instructions
The new sentence is [0]: w
The new sentence is [0]: w
The new sentence is [0]: w
The new sentence is [0]: w
The new sentence is [0]: w
The new sentence is [0]: w
The new sentence is [3]: N
The new sentence is [0]: w
The new sentence is [0]: w
The new sentence is [0]: w
The new sentence is [0]: w
The new sentence is [0]: w
The new sentence is [9]: E
The new sentence is [12]: e
The new sentence is [14]: f
The new sentence is [15]: A
The new sentence is [16]: i
2
The new sentence is [17]: L
The new sentence is [17]: L
The new sentence is [19]: ,
The new sentence is [20]:
The new sentence is [21]: R
The new sentence is [22]: e
The new sentence is [23]: A
The new sentence is [23]: A
The new sentence is [25]:
The new sentence is [26]: t
The new sentence is [27]: H
The new sentence is [27]: H
The new sentence is [27]: H
The new sentence is [29]:
The new sentence is [31]: N
The new sentence is [30]: i
The new sentence is [31]: N
The new sentence is [32]: s
The new sentence is [35]: U
The new sentence is [34]: r
The new sentence is [35]: U
The new sentence is [36]: c
The new sentence is [37]: T
The new sentence is [39]: O
The new sentence is [41]: S
The new sentence is [41]: S
The problem is that the output should look something like:
$ ./a.out
Please enter a phrase (less than 50 characters): when all
else
fails, read the instructions
The original sentence is: when all else fails, read the
instructions
The new sentence is [0]: w
The new sentence is [1]: H
The new sentence is [2]: e
The new sentence is [3]: N
The new sentence is [4]:
The new sentence is [5]: A
The new sentence is [6]: l
The new sentence is [7]: L
The new sentence is [8]:
The new sentence is [9]: E
The new sentence is [10]: l
The new sentence is [11]: S
The new sentence is [12]: e
The new sentence is [13]:
The new sentence is [14]: f
The new sentence is [15]: A
The new sentence is [16]: i
The new sentence is [17]: L
3
The new sentence is [18]: s
The new sentence is [19]: ,
The new sentence is [20]:
The new sentence is [21]: R
The new sentence is [22]: e
The new sentence is [23]: A
The new sentence is [24]: d
The new sentence is [25]:
The new sentence is [26]: t
The new sentence is [27]: H
The new sentence is [28]: e
The new sentence is [29]:
The new sentence is [30]: i
The new sentence is [31]: N
The new sentence is [32]: s
The new sentence is [33]: T
The new sentence is [34]: r
The new sentence is [35]: U
The new sentence is [36]: c
The new sentence is [37]: T
The new sentence is [38]: i
The new sentence is [39]: O
The new sentence is [40]: n
The new sentence is [41]: S
The new sentence is [42]:
REQUIREMENTS:
• No comments are required for this recitation assignment, except
for your name at
the top of each program.
• Your program should be named “rec07.c”, without the quotes.
• Your program will be graded based largely on whether it works
correctly on the
CSE machines (e.g., cse01, cse02, …, cse06), so you should make
sure that
your program compiles and runs on a CSE machine.
• Although this assignment is to be submitted individually (i.e.,
each student will
submit his/her own source code), you may receive assistance from
your TA and
even other classmates. Please remember that you are ultimately
responsible for
learning and comprehending this material as the recitation
assignments are given
in preparation for the minor assignments, which must be completed
individually.
• Please do not share this assignment or your work with other
students to allow
them the opportunity to benefit from this exercise and learn this
material.
SUBMISSION:
• You will electronically submit your program to the Recitation 7
dropbox in
Canvas by the due date and time. No late recitation assignments
will be
accepted.
CODE
#include <stdio.h>
#include <string.h>
#include <pthread.h>
#define SIZE 50
char sentence[2000];
int ind = 0;
char convertUppercase(char lower)
{
//Converts lowercase un uppercase
if ((lower > 96) && (lower < 123))
{
return (lower - 32);
}
else
{
return lower;
}
}
void printChar()
{
//prints the converted sentence
printf("The new sentence is [%d]: \t%c\n", ind,
sentence[ind]);
ind++;
}
void *convertMessage(void *ptr)
{
// Function that each threads initiates its execution
if (ind % 2)
{
sentence[ind] = convertUppercase(sentence[ind]);
}
printChar();
return 0;
}
int main()
{
int i;
char buffer[SIZE];
char *p;
pthread_t ts[SIZE]; // define up to 50 threads
printf("Please enter a phrase (less than 50 characters): ");
if (fgets(buffer, sizeof(buffer), stdin) != NULL)
{
if ((p = strchr(buffer, '\n')) != NULL)
{
*p = '\0';
}
}
strcpy(sentence, buffer); // copy string to char array
printf("The original sentence is: \t %s\n", sentence);
// create one thread for each character on the input word
for (i = 0; i < strlen(buffer) + 1; ++i)
{
pthread_create(&ts[i], NULL, convertMessage, NULL);
}
// we wait until all threads finish execution
for (i = 0; i < strlen(buffer); i++)
{
pthread_join(ts[i], NULL);
}
printf("\n");
return 0;
}
In: Computer Science
A problem of interest is the relationship between the appraised value of a property and its sale price. The sale price for any given property will vary depending on the price set by the seller, the strength of appeal of the property to a specific buyer, and the state of the money and real estate markets. We want to examine the relationship between the mean sale price E(y) of a property and the variables: appraised land value of the property, appraised value of the improvements on the property and neighborhood in which the property is listed. The data were collected from the property appraiser’s office of Hillsborough County, Florida, and saved in the TAMSALES4 file. Four neighborhoods (Hyde Park, Cheval, Hunter’s Green, and Davis Isles), each relatively homogeneous but differing sociologically and in property types and values, were identified within the city and surrounding area.
1. Draw scatter plots between the response Y and the quantitative variables.
2. Using the information, you got from the scatter plot and the knowledge in chapter 4 and 5, propose at least 3 different model to find the relation between the mean sale price E(y) and the variables. Try to build the models in such a way that one is nested in other.
3. Conduct partial F test repeatedly and find a best model from the proposed models.
4. After the final model has been selected, Conduct the Global F test for the adequacy of the model.
5. Perform individual t test if you have doubt with any one of the variables.
6. Report the value of adjusted R-squared and standard error of the model.
7. Depending on your report in step six, explain in your word if the final model is good to use or it may need some improvements.
8. Provide all the R codes you have used. TAMSALES4 file:
Using Rstudio:
FOLIO SALES LNSALES
LAND IMP TOTVAL NBHD
129295710 378.0 5.93489
81.84 243.30 325.14
CHEVAL
129295830 273.0 5.60947
60.48 134.47 194.95
CHEVAL
129453028 321.2 5.77206
115.58 255.42 371.00
CHEVAL
129454156 327.0 5.78996
112.38 185.57 297.96
CHEVAL
129454194 382.5 5.94673
81.23 217.98 299.22
CHEVAL
129454316 242.0 5.48894
61.48 110.28 171.76
CHEVAL
129454374 242.0 5.48894
49.99 109.06 159.06
CHEVAL
129454524 510.0 6.23441
71.28 224.38 295.65
CHEVAL
129454536 285.0 5.65249
63.82 158.83 222.65
CHEVAL
129795122 500.0 6.21461
91.32 296.02 387.34
CHEVAL
129795276 825.0 6.71538
117.01 451.41 568.42
CHEVAL
129795456 515.0 6.24417
117.72 347.87 465.59
CHEVAL
129795468 520.0 6.25383
107.06 329.93 436.99
CHEVAL
129795488 780.0 6.65929
157.29 507.85 665.14
CHEVAL
129795506 825.0 6.71538
131.89 466.27 598.16
CHEVAL
129795510 841.0 6.73459
159.84 443.29 603.13
CHEVAL
129795606 1140.0 7.03878
157.49 563.91 721.41
CHEVAL
129842052 460.0 6.13123
59.36 206.84 266.20
CHEVAL
339720192 285.0 5.65249
39.75 166.61 206.36
HUNTERSGREEN
339721514 350.0 5.85793
54.00 227.43 281.43
HUNTERSGREEN
339721560 314.5 5.75098
48.84 187.13 235.97
HUNTERSGREEN
594030716 183.0 5.20949
34.75 158.05 192.80
HUNTERSGREEN
594030754 200.0 5.29832
29.10 145.80 174.90
HUNTERSGREEN
594030784 775.0 6.65286
142.27 350.43 492.70
HUNTERSGREEN
594030788 505.0 6.22456
99.62 306.43 406.05
HUNTERSGREEN
594030880 425.0 6.05209
47.52 225.74 273.26
HUNTERSGREEN
594030882 335.0 5.81413
49.01 217.35 266.36
HUNTERSGREEN
594031020 760.0 6.63332
96.10 335.59 431.69
HUNTERSGREEN
594031044 410.0 6.01616
75.79 274.22 350.01
HUNTERSGREEN
594031064 335.0 5.81413
67.22 273.66 340.88
HUNTERSGREEN
594033934 325.0 5.78383
47.02 241.87 288.90
HUNTERSGREEN
594033956 380.0 5.94017
47.74 307.20 354.94
HUNTERSGREEN
594033970 640.0 6.46147
45.55 336.44 381.99
HUNTERSGREEN
594034072 262.0 5.56834
51.97 152.96 204.94
HUNTERSGREEN
594034084 190.0 5.24702
51.25 151.68 202.94
HUNTERSGREEN
1176450000 500.0 6.21461
256.13 152.78 408.91
HYDEPARK
1186250000 550.0 6.30992
168.45 310.12 478.56
HYDEPARK
1186260000 205.8 5.32690
168.45 41.60 210.05
HYDEPARK
1692460000 590.0 6.38012
291.09 66.90 357.99
DAVISISLES
1692730000 525.0 6.26340
462.43 114.13 576.56
DAVISISLES
1692990000 340.0 5.82895
199.66 80.43 280.09
DAVISISLES
1693500000 3200.0 8.07091
1004.59 1129.65 2134.23
DAVISISLES
1694120000 500.0 6.21461
358.43 55.89 414.32
DAVISISLES
1694450000 1421.0 7.25912
391.46 550.78 942.24
DAVISISLES
1853130000 858.9 6.75565
242.47 281.62 524.09
HYDEPARK
1853270000 625.0 6.43775
264.00 184.63 448.63
HYDEPARK
1854060000 375.0 5.92693
242.00 33.79 275.79
HYDEPARK
1854250000 1240.0 7.12287
264.00 466.82 730.82
HYDEPARK
1855080000 850.0 6.74524
266.64 333.18 599.82
HYDEPARK
1855250000 2500.0 7.82405
533.28 1221.20 1754.48
HYDEPARK
1855590000 750.0 6.62007
266.64 366.05 632.69
HYDEPARK
1856430000 895.0 6.79682
266.64 358.77 625.41
HYDEPARK
1856800000 460.0 6.13123
264.00 183.54 447.54
HYDEPARK
1856960000 605.0 6.40523
210.00 259.67 469.67
HYDEPARK
1857420000 329.9 5.79879
210.00 105.94 315.94
HYDEPARK
1857460000 462.0 6.13556
210.00 145.19 355.19
HYDEPARK
1858190000 850.0 6.74524
264.00 362.71 626.71
HYDEPARK
1858440000 1525.0 7.32975
335.61 862.34 1197.95
HYDEPARK
1858450000 1400.0 7.24423
350.90 711.34 1062.24
HYDEPARK
1858770000 760.0 6.63332
264.00 257.47 521.47
HYDEPARK
1859190000 520.0 6.25383
250.23 157.75 407.98
HYDEPARK
1859400000 418.0 6.03548
193.20 147.43 340.63
HYDEPARK
1859590000 152.0 5.02388
118.80 106.14 224.94
HYDEPARK
1859620000 330.0 5.79909
118.80 123.98 242.78
HYDEPARK
1860510000 240.0 5.48064
192.01 221.54 413.55
HYDEPARK
1860580000 405.0 6.00389
223.74 122.18 345.92
HYDEPARK
1860890000 650.0 6.47697
203.49 209.11 412.60
HYDEPARK
1860920000 400.0 5.99146
203.49 101.58 305.07
HYDEPARK
1861000000 365.0 5.89990
207.48 112.78 320.26
HYDEPARK
1953960000 745.0 6.61338
291.63 83.22 374.85
DAVISISLES
1954130000 1650.0 7.40853
388.82 1023.36 1412.18
DAVISISLES
1954320000 1250.0 7.13090
648.96 81.01 729.97
DAVISISLES
1954870000 715.0 6.57228
344.12 265.18 609.30
DAVISISLES
1955990000 1215.0 7.10250
341.86 785.66 1127.52
DAVISISLES
1960100000 440.0 6.08677
179.52 58.40 237.92
DAVISISLES
1962380000 690.0 6.53669
357.07 121.25 478.33
DAVISISLES
1964590000 587.5 6.37588
300.93 75.99 376.92
DAVISISLES
1966620000 377.5 5.93357
238.86 43.95 282.81
DAVISISLES
1968140000 810.0 6.69703
195.84 479.00 674.84
DAVISISLES
1969380000 800.0 6.68461
242.47 367.40 609.87
HYDEPARK
In: Statistics and Probability
Each question refers to the same initial data. Treat each Part individually. Ignore income taxes. Assume no beginning or ending inventories. Unless stated otherwise, all calculations and income statements should be based on a one-month period. Calculations and backup should be completed and submitted in Excel. Use proper Contribution Income Statement formatting – example below. Analysis can either be typed into cells in Excel (formatted to be easily legible) or typed into a text box in Excel. One Excel file is to be submitted for this case study. No additional files (Word documents or otherwise) will be accepted or graded.
Contribution Margin Format Example:
Volume XX
Sales XX
Variable Costs (Listed) XX
Variable Costs (Total) XX
Contribution Margin XX
Fixed Costs (Listed) XX
Fixed Costs (Total) XX
Operating Income XX
Data for all questions:
Stuckie produces white school glue. Their glue bottles are primarily sold at department stores across the country. The cost of manufacturing and marketing their glue, at their normal factory volume of 20,000,000 bottles of glue per month, is shown in the table below. Stuckie sells their glue bottles for $1.50 each. Stuckie is making a small profit, but they would prefer to increase their Operating Income.
Hint: Fixed costs are shown on a per-unit basis in the table based on normal volume. However, fixed costs as a total do not change when volume changes, so you will need to determine total fixed costs first.
Per Unit Per Unit
Unit Manufacturing Costs:
Variable Materials $0.30
Variable Labor $0.35
Variable Overhead $0.10
Fixed Overhead $0.25
Total Unit Manufacturing Costs: $1.00
Unit Marketing Costs:
Variable Marketing Costs $.05
Fixed Marketing Costs $.20
Total Unit Marketing Costs: $.025
Questions:
Question 3:
Slime-making is a current fad, and this is creating a demand for larger bottles of glue. Stuckie’s would like to offer larger bottles of glue to their customers (to support slime making). In order to have a second bottle size option, Stuckie’s would need to invest in a new bottling line. This would increase fixed overhead costs by $4,000,000 per month. All variable costs (materials, labor, overhead & marketing) would increase 5X (500%) because of the bigger bottles and additional glue put into each bottle. Market research estimates that 5,000,000 of the larger bottles of glue could be sold per month.
A) If Stuckie’s ONLY sells these new, larger bottles of glue, what is the minimum sales price per bottle they could accept and still have the same operating income (as question 1)? Show your results in a contribution margin income statement.
B) If Stuckie’s can sell the larger bottles of glue for $10 each, what is the break-even point in units for the larger bottles of glue? (Show your calculation.)
C) If Stuckie’s can sell the larger bottles of glue for $10 each, what is the break-even point in sales dollars for the larger bottles of glue? (Show your calculation.)
D) If the slime-making fad goes away, and Stuckie’s needs to go back to selling only the small bottles of glue, what would be their maximum net operating income (based on maximum capacity and the additional factory investment)? Show your results in a contribution margin income statement.
Question 4:
Stuckie’s is thinking of cutting costs by switching to a different material supplier. Their variable material costs would decrease by 50% (only variable material costs – not all variable costs). The quality of the ingredients is lower, so Stuckie’s estimates that their additional fixed scrap costs related to the ingredient quality would be $1,000,000 per month. They would not change the pricing of their glue bottles.
Note: Use the initial data provided for all questions. Ignore the special sale and larger bottle data from Parts 2 & 3.
A) Prepare a revised monthly Contribution Margin Income Statement to include the revenues, costs and profits of using the different raw material (ingredient) supplier. (At normal volume.)
B) What is the break-even point in units? (Show your calculations.)
C) What is the break-even point in sales dollars? (Show your calculations.)
D) If their sales end up decreasing because of the change in quality, how much of a reduction in sales (dollars and units) could Stuckie’s handle and still keep their net operating income the same as before the supplier change? Show your data in a Contribution Margin Income Statement.
E) What are the potential impacts – both Qualitative and Quantitative – of the material supplier change? If you had to make the decision of whether to switch suppliers or not, what would you do? Why?
In: Accounting