Write the c++ program of Secant Method and Fixed point Method in a one program using switch condition .Like :

cout<<"1.Secant Method \n 2. Fixed point Method\n"<<endl; if press 1 then work Secant Method if press 2 then work Fixed point Method .so please writhe the code in c++ using switch case.and the equation given down consider the equation in the given.Note: Must showt the all the step of output all the iteration step shown in the program .in program must shown all the step of iteration result

for secant method equation :4x3-2x-6=0

for fixed point=x2-x-1=0

Please in every itaration must be shown the output then finally Got the root

6. In each situation described below, compare the magnitudes of the two forces. Explain your answer in each case.

a. A 90-kg an and a 60-kg boy each have one hand extended out in front and are pushing on each other. Neither is moving. Compare the force exerted by the man’s hand on the boy’s hand to that exerted by the boy’s hand on the man’s.

b. In (a), the boy begins to slide along the floor. Now compare the same two forces between their hands.

c. A person is leaning against a wall with her hand straight out pushing against the wall. Compare the force exerted by her hand on the wall to that exerted by the wall on her hand. What is the type of force exerted by the wall on her hand called?

d. In (c), is the force exerted by the wall on the person’s hand passive or active explain?

e. In (c) compare the horizontal component of the force exerted by the person’s feet on the floor to the horizontal component of the force exerted by the floor on her feet. What is the type of force exerted by the floor on her feet called?

f. Is the force describe in (e) that the person exerts on the floor passive or active? Explain.

Use the Housing Interest Rate database (see DATA at bottom of this question)

In this part using Housing Interest Rate database, the objective is to compare the variation in the FIXED_RATE between two periods; before 2000 and after year 2000.

• i) Using descriptive statistics measures to interpret the shape of FIXED_RATE variable, calculate any outlier(s) finally verify whether if the empirical rule applies to the FIXED_RATE distribution.  Use an appropriate graph to confirm your findings.

• ii) Use a random generating procedure to draw a random sample of size 80 with respect to the “before and after year 2000 “factor.  Indicate which sampling method you used.  Using your sample data, calculate which period shows more variation in the FIXED_RATE.  Using the sample data, what is the   sampling error of FIXED_RATE?

I WILL GIVE YOU THUMBS UP AND EXCELLENT REVIEWS FOR HELP/GUIDANCE WITH THIS. ANY HELP WILL BE GREATLY APPRECIATED! THANK YOU!

DATA:

Question 1(a) “Chain Saw”AL and Sunbeam (1995-1998)AL Dunlop was proud of the fact that he was at the bottom of his West Point class (he did graduate). Afrightening thought worthy of Dr.Strangelove is that as an officer he was assigned to a missile silo and the missiles were armed with nuclear weapons.He was chosen to turn around Scott Paper company. Within six months he had dismissed 11,200 employees including 50 percent of all managers and 70 percent of all corporate staff and paid off a significant amount of Scott’s long term debt. He then sold the company to Kimberly-Clark making over $100 million from his stock options.In the spring of 1995 AL Dunlop gave a talk at the Johnson School in Professor Bierman’s finance course. He received a standing ovation for his talk which stressed that managers should increase shareholder value.That night there was a dinner in his honour at Renees attended by Charles Elson (law school professor and friend of AL), Bob Gibbons, Jerry Hass and Hal Bierman(the last three wereJohnson School professors). It was a dinner from hell. Dunlop insisted on using profanity continuously and incorrectly and insulting each of the professors in sequence. Attempts at peace making were turned into profane tirades. He was actually an unintelligent, dislikeable and uninformed man. The next day a group of students came to Professor Bierman’s office and advocatedALDunlop for Dean of the School. Bierman suggested that they approach the tenth person they met incollegetown and offer the job to that person since he would perform better.July 18, 1996 Dunlop (now 59) was made Chairman of the Board of the Sunbeam Corporation, a company in need of help. On July 17, the stock price was $12.25. By July 19, the stock reached a price of $19.50. This wasthe biggest gain prompted by a chief executive announcement in the history of theNew York Stock Exchange. Professor Bierman took it as a matter of honour to sell the stock short.

Sunbeam paid Dunlop a salary of $1 million a year,2.5 million options to buy at $12.25 and one million shares of restricted stock(worth $18 million). The total package has a value in excess of $38 million.By August 8, he had dismissed the president of Sunbeam’s household products group, the chief financial officer, the chief operating officer North America, and the vice president of strategic planning for North America. Sunbeam had 60 staff people at its Fort Lauderdale headquarters. The market expected headcount reductions. Dunlop sent the following press release “I set as an initial goal the quick appointment of a highly focused management team to provide leadership in the transition to the Sunbeam Corporation”. He also stated “if you can’t rum a company around in a year, you can’t do it at all”.In November 1996, Dunlop announced a major restructuring.Headcount will be reduced by 50% to 6,000. Some of the reductions willbe the result of divestitures. In January 1997, Sunbeam sold its clock, timers, and thermometer units to CIT Group Holdings for $8 million (the units generated $20 million in annual revenues). By the first quarter of 1997, Sunbeam had a positive (but small) profit, Sales were almost as high as in 1995 but not as high as the first halfof 1996.But some critics pointed out that there were last minute sales drives in the first quarter of 1997, including deliveries when the orders had been cancelled because of failure to deliver in time.Dunlop said “we are definitely on schedule and we will probably deliver better results than we expected “.The stock price broke through $30.Professor Bierman sold short more shares.By December 1997,the stock price reached $41.Professor Biermancovered his short position having lost all faith in the efficiency of the stock market.by the end of 1997,the stock reacheda high of $50 7/16 and the company reported net earnings of $109.4 million ($1.41 per share) for the year.In the fall of 1997, Dunlop hired Morgan Stanley to sell Sunbeam. The $50 stock price precluded any bids. Dunlop decided if he could not sell then he would buy. In March1998, Sunbeam purchased Coleman Corporation for $2.2 billion and Signature Brands and First Alert for $425 million. Now Sunbeam had over $2 billion of in debt and itsnet worth was a negative $600 million.

By June 8, 1998, the business press wondered whether Dunlop had manufactured Sunbeam’s 1997 earnings by accelerating the bookings of sales and various accounting tricks .one author estimated the inflation in profits to be $120 million. This estimate was probably too low.On Saturday, June 13, 1998, AlbertJ. Dunlop was fired by Sunbeam. The motion to remove Dunlop was made by Charles Elson, Dunlop’s good friend and staunch alley in the pursuit of shareholders rights. Elson was an honourable person who voted on behalf of Sunbeam’s shareholders and against his friend. Sunbeam’s stock had fallen to $18.0625 on Friday, June 12. The stock continued to fall to $11.25 by June 29. The stock price decline continued with the stock price falling below ten in July (Biermann was right, if poorer).On April 22, 1999, Sunbeam reported a loss of $898 million for 1998. Its warehouses were full of finished goods inventories. The stock sold for $5.375. Finally, AL Dunlop announced that he was ready to another corporation.Required:(i)ALDunlop was a great success at Scott Paper selling out to Kimberly-Clark at a fine profit. Why was he a failure at Sunbeam?(ii)With hindsight we know AL at Sunbeam was a disaster. What hints were there that maybe he was not going to be a success at Sunbeam?(iii)What generalizationsare there?(iv)Sunbeam reported $109.4 million of income for the year 1997. What accounting related actions could Sunbeam have taken that would inflate 1997 income?(v)What real actions in 1996 and 1997 would tend to increase income? Which of these actions are desirable?(vi)As a consultant hired in 1996 would you doas Dunlop wants you to do or would you do what you think is best for Sunbeam? Assume Dunlop’s actions will harm Sunbeam’s stockholders and employees.

In April 1995, Michel Camdessus, managing director of the International Monetary Fund (IMF), criticized U.S. economic policy for allowing the dollar exchange rate to fall too low. He recommended that the U.S. reduce its budget deficit in order to raise the real exchange rate.

Use the Classical model for a small open economy with perfect capital mobility to answer Q2., so that the world interest rate (r*) equals the domestic interest (r). You may assume the economy begins with a position of balanced trade, NX = 0.

1. Using the loanable funds market model illustrate and explain the effect of reducing the government's budget deficit on net capital outflows (NCO = NX). Make sure to label the axes and curves.

2. Now, using the foreign exchange market diagram (S-I=NX), illustrate the impact of reducing the government's budget deficit on the real exchange rate and the net exports (NX). Make sure to label the axes and curves.

3. Based on your answer in part 2, explain whether Mr. Camdessus's policy recommendation will work. Specifically explain what happens to the real exchange rate and the trade balance as a result of the government budget deficit reduction.

MALDEN MILLS CASE STUDY

During the early evening hours of December 11, 1995, a fire broke out in a textile mill in Lawrence, Massachusetts. By morning, the fire had destroyed most of Malden Mills, the manufacturer of Polartec fabric. The fire seemed a disaster to the company, its employees, its customers, and the surrounding communities.

Malden Mills was a family-owned business, founded in 1906 and run by the founder’s grandson, Aaron Feuerstein. Polartec is a high-quality fabric well known for its use in the outdoor apparel featured by such popular companies as L.L. Bean, Lands’ End, REI, J. Crew, and Eddie Bauer. The disaster promised many headaches for Malden Mills and for the numerous businesses that depend on its products.

The fire also was a disaster for an entire community. The towns surrounding the Malden Mills plant have long been home to textile manufacturing. But the industry effectively died during the middle decades of the twentieth century when outdated factories and increasing labor costs led many companies to abandon the area and relocate, first to the nonunionized South, and later to foreign countries such as Mexico and Taiwan. As happened in many northern manufacturing towns, the loss of major industries, along with their jobs and tax base, began a long period of economic decline from which many have never recovered. Malden Mills was the last major textile manufacturer in town, and with 2,400 employees, it supplied the economic lifeblood for the surrounding communities. With both its payroll and taxes, Malden Mills contributed approximately $100 million a year into the local economy.

As CEO and president, Aaron Feuerstein faced some major decisions. He could have used the fire as an opportunity to follow his local competitors and relocate to a more economically attractive area. He certainly could have found a location with lower taxes and cheaper labor and thus have maximized his earning potential. He could have simply taken the insurance money and decided not to reopen at all. Instead, as the fire was still smoldering, Feuerstein pledged to rebuild his plant at the same location and keep the jobs in the local community. But even more surprising, he promised to continue paying his employees and extend their medical coverage until they could come back to work.

Answer the following questions based on the above case:

1. What is the central problem faced by Aaron Feuerstein?

2. Identify the groups (stakeholders) that will be affected by the company’s response to the central problem?

3. What, if any, duties does Malden Mills have to each stakeholder?

4. What were the possible options Aaron Feuerstein could have considered?
5. Evaluate the options:
   1. Which option will do the most good and the least harm?
   2. What are the economic consequences of each?
   3. What are the legal requirements?
   4. Will everyone’s rights and dignity still be respected?
   5. Which option is the most “fair”?
   6. Which option would you have chosen?
   7. If you had to explain your decision on television, what would you say?

1. Use contemporary newspaper accounts to find information on problems with Intel’s Pentium computer chip (1995) and with runway concrete at the Denver PROBLEMS 54 Problems International Airport (1994). Analyze these cases, using virtue ethics. Start by deciding what virtues are important for people in these businesses (e.g., honesty, fairness, etc.). Then see if these virtues were exhibited by the engineers working for these companies.

2. Develop a list of values that you think are important to being a successful engineer. This list will probably include things such as engineering knowledge and technical skills that are not ethical in nature. For the values that are ethical, think about where these values come from and how you came to hold them.

3. Discuss with a fellow student or faculty member who grew up in a different culture, what their ethical values are, and how those values are reflected in their daily life. Develop a list of values that are common between your culture and their culture.

4. As a computer engineer, how should the government generally address the Cybersecurity issues? How do you think can Computer Engineers help in this case?

Between February 1995 and December 1997, 17 consecutive patients with combined acute ACL and grade III MCL injuries were treated by the same physician at the research center. One of the variables of interest was the length of time in days between the occurrence of the injury and the first magnetic resonance imaging (MRI).

Here is the data: 14, 9, 18, 26, 12, 0, 10, 4, 8, 21, 28, 24, 24, 2, 3, 14, 9. The sample mean and sample standard deviation are 13.2941 and 8.8865, respectively.

Q1. Construct a 95% confidence interval for the population mean number of days between the occurrence of the injury and the first MRI and write a brief interpretation of your confidence interval in terms of the context.

Q2. (2 points) Under what assumptions is the confidence interval in Q1 constructed?

Q3. (3 points) Without constructing a 99% confidence interval, what can you say about the 99% confidence interval compared to the 95% one in Q1 in terms of the interval length? Write a sentence to justify your answer.

Q4. Do the data support the claim that the population mean number of days between the occurrence of the injury and the first MRI is less than 15 days at a significance level of 0.05? Answer the question by the following steps.

d) Formulate null and alternative hypotheses in terms of the population parameter as well as the context of this application;

e) State type I and type II errors in terms of the context of this application.

f) Is the test right-tailed, left-tailed or two-tailed?

g) Find the P-value of the test, interpret your P-value in the context of the application, and make your conclusion.

In 1995, the Educational Testing Service in Princeton, New Jersey (which administers SAT exam) re-centered the scores so that the overall mean would be approximately 1,000 in the combined math and verbal scores for a “large standardized group”. In 1996, approximately 1.1 million college-bound high school students took the exam and registered a mean score of 1,013, with a standard deviation of 222. About 40 percent of these students’ scores were between 900 and 1,100.
a) Based on this estimate, what is the probability that of 10 randomly selected students, less than four will be between 900 and 1,100?
b) What is the probability that more than four students will be in this range? What is the probability that exactly four students will be in this range?
c) What is the probability that between three and five students will range between 900 and 1,100?