4. Sky Metals, Inc. is a metal fabrication firm that manufactures prefabricated metal parts for customers in a variety of industries. The firm’s motto is “If you need it, we can make it.” The CEO of Sky Metals recently held a board meeting during which he extolled the virtues of the corporation. The company, he stated confidently, had the capability to build any product and could do so using a lean manufacturing model. The firm would soon be profitable, claimed the CEO, because the company used state-of-the-art technology to build a variety of products while keeping inventory levels low. As a business press reporter, you have calculated some ratios to analyze the financial health of the firm. Sky Metals' current ratios and quick ratios for the past 6 years are shown in the following table: 2010 2011 2012 2013 2014 2015 2015 Current ratio 1.2 1.4 1.3 1.6 1.8 2.2 2.2 Quick ratio 1.1 1.3 1.2 0.8 0.6 0.4 0.4 What do you think of the CEO’s claim that the firm is lean and soon to be profitable?

Corsco is a large telecommunications company that is listed on a stock exchange.It is highly geared because,like many such companies,it borrowed a large sum to pay for a licence to operate a mobile phone network with technology that has not proved popular.The companiy's share price has dropped by 50% during the last three years and there has been several changes of senior management during that period.There's been considerable speculation in the press over the last six month about whether the company can survive without being taken over by a rival:

(a) Describe the external auditors responsibilities and the work that the auditor should perform in relation to the going concern status of companies

(b) Descrbe the possible audit reports that can be issued where the going concern status of a company is called into question;your answer should describe the circumstances in which they can be issued.

(c) On the basis of the information provided above desribe the audit report that you consider is likely to be issued in the case of Corsco,giving reasons

(d) Explain the difficulties that would be faced by Corsco and its auditors if Corsco's audit report made references to going concern,giving reasons

The coding for this program to run as described on Python:

Your (turtle) program must include:

• include import turtle on a line after the comments so you can use the various Turtle-related objects and methods.
• Create a turtle named after your favorite ice cream flavor. Make sure the name has no punctuation and consists only of letters, numbers and the underscore character.
• Write your python program so your turtle is constantly moving and can be turned left and right using the arrow keys on the keyboard and you can speed up or slow down your turtle using the up and down arrow keys, but the turtle can never stop moving (is not allowed to have a speed of zero).
• When you press the space bar, the turtle should move back to its starting location (0, 0) and return to its initial speed. It should also not leave a line from its original location to the center when it jumps back to start.
• Create two additional buttons to cause your turtle to do something interesting. Explain in the comments for your program exactly what the two additional buttons do.

Managing, Organizing & Negotiating for Value

Need an outline for a MGT course. Here are the specifics:

Select an actual current event that has ethical, legal and professional implications and has taken place in the context of a negotiation. An example might be the North Korean events on their atomic nuclear activities. Based on chapters 1 through 8 create an essay in the ESSAY FORMAT describing all of the relevant issues and aspects highlighting specific facts that you can attribute to the topics cover the negotiations of the issues. Be sure to cover examples of how your readings helped to resolve the final resolution or agreement. Please submit in APA compliant style.

Text is Beyond Winning: Negotiating to Create Value in Deals and Disputes. Harvard University Press. 0-6740-1231-3. Authors: Mnookin, Robert H., Tulumello, Andrew S., and Peppet, Scott R. (2004).

Chapters 1-8 cover:

- the dynamics of negotiation (tensions between: creating and distributing value; empathy and assertiveness; and principals and agents

- the challenges of dispute resolution/deal making; and psychological and cultural barriers

- a problem-solving apporach (behind the table/across the table)

Group Exercise #7

The tourist industry is subject to enormous seasonal variation.   A hotel in Bermuda has recorded its occupancy rate for each quarter over a 5-year period.    These data are shown in the following table:

1. Calculate the seasonal indices for each quarter in order to measure seasonal variation.     Also, include the Trend Line Equation. (Hint:   Because the regression line yt = β0 + β1t    represents trend, it follows that the time series divided by the predicted values produces ytyt = S_t X R_tà seasonal & random variation.   And, because there is no cyclical effect, use this method to compute seasonal indices.)

2. What can you infer from the Seasonal Indices?

3. Deseasonalize the occupancy rates and assess.   (Hint:   Graphically compare the original and adjusted data sets.   Accordingly, provide data-supported inference/s.)

4. Forecast each quarter’s occupancy rate for 2000.

5. As an alternative to calculating and using seasonal indices to measure seasonal variations, indicator variables can be used in a multiple regression model.   Accordingly, use indicator variables and regression analysis to forecast hotel occupancy in 2000.   How does this compare to the forecast produced by using seasonal indices?  

An economist with a major bank wants to learn, quantitatively, how much spending on luxury goods and services can be explained based on consumers’ perception about the current state of the economy and what do they expect in the near future (6 months ahead).  Consumers, of all income and wealth classes, were surveyed.  Every year, 1500 consumers were interviewed.  The bank having all of the data from the 1500 consumers interviewed every year, computed the average level of consumer confidence (an index ranging from 0 to 100, 100 being absolutely optimistic) and computed the average dollar amount spent on luxuries annually.  Below is the data shown for the last 24 years.

Date                 X                     Y (in thousands of dollars)

1994                79.1                 55.6

1995                79                    54.8

1996                80.2                 55.4

1997                80.5                 55.9

1998                81.2                 56.4

1999                80.8                 57.3

2000                81.2                 57

2001                80.7                 57.5

2002                80.3                 56.9

2003                79.4                 55.8

2004                78.6                 56.1

2005                78.3                 55.7

2006                78.3                 55.7

2007                77.8                 55

2008                77.7                 54.4

2009                77.6                 54

2010                77.6                 56

2011                78.5                 56.7

2012                78.3                 56.3

2013                78.5                 57.2

2014                78.9                 57.8

2015                79.8                 58.7

2016                80.4                 59.3

2017                80.7                 59.9

Question:

1. Measure the strength of the linear association between consumers’ moods and the dollar amounts spent on luxury items.

An economist with a major bank wants to learn, quantitatively, how much spending on luxury goods and services can be explained based on consumers’ perception about the current state of the economy and what do they expect in the near future (6 months ahead).  Consumers, of all income and wealth classes, were surveyed.  Every year, 1500 consumers were interviewed.  The bank having all of the data from the 1500 consumers interviewed every year, computed the average level of consumer confidence (an index ranging from 0 to 100, 100 being absolutely optimistic) and computed the average dollar amount spent on luxuries annually.  Below is the data shown for the last 24 years.

Date                 X                     Y (in thousands of dollars)

1994                79.1                 55.6

1995                79                    54.8

1996                80.2                 55.4

1997                80.5                 55.9

1998                81.2                 56.4

1999                80.8                 57.3

2000                81.2                 57

2001                80.7                 57.5

2002                80.3                 56.9

2003                79.4                 55.8

2004                78.6                 56.1

2005                78.3                 55.7

2006                78.3                 55.7

2007                77.8                 55

2008                77.7                 54.4

2009                77.6                 54

2010                77.6                 56

2011                78.5                 56.7

2012                78.3                 56.3

2013                78.5                 57.2

2014                78.9                 57.8

2015                79.8                 58.7

2016                80.4                 59.3

2017                80.7                 59.9

Question:

1. Do you think that measuring the level of optimism is a good predictor for trying to forecast future spending on luxury items?  Explain why or why not.

You are asked to write a memo to your client, Mr. Carter regarding his tax question.

● Your paper should not be more than 2-3 pages, double spaced ● The format should be as follows:

○ Restate the issue / question (first paragraph)

○ Explain the facts in relation to your research (middle paragraphs)

■ Cite a primary or authoritative material at least once ■ Refer the the tax form the information would be reported on

■ Include calculations and explanations

○ Give the client your final conclusion and recommendations (last paragraph)

Mr. Carter plans on selling his house located in Virginia in 2018. He wants to know if he will be taxed on the gain of the sale. He is especially concerned because he had heard there may be a tax issue since he did not live in the house for a period of time. Please make sure you address this concern.

a) Mr. Carter believes the home will sell for at least $560,000.

b) He purchased the home in 1995 for $210,000.

c) Mr. Carter is not married, and files “single.”

d) In 2008, an addition was put on the house that cost $85,000.

e) From January 15, 2015 March 15, 2016, he moved in with his mother to care for her until she moved to a nursing home.

f) He moved to his Florida condo on November 1, 2017 and is now a resident of Florida.

g) He rented the home to his niece from January 2015 until he moved back home in March 2016. The income and expenses were reported on the Schedule E.

Part (a)
using the data set below on the account balances of customers at a bank’s four locations.

Using that data set and an α of 0.05, test the null hypothesis that the mean account balances

are equal in the four towns using a one-way ANOVA in Excel.

using Excel file include the output as part of the answer.

Part (b)   

Do you reject the null hypothesis or not? Indicate on which part of the Excel output you base your decision.

Part (c)
Assuming that an acquaintance of yours has never heard of ANOVA, explain to him what the decision in part (b),

i.e., “rejecting H₀” or “not rejecting H₀” means in this context at a level that can be understood by a high school senior.

The next three questions are based on the following data on the closing price at year’s end in Euros of the DAX Stock Index. year 1994 1995 1996 1997 closing price 2100.98 2280.81 2844.09 4125.54

11. Find ˆm. A. ≈ 506.4 B. ≈ 663.7 C. ≈ 792.4 D. ≈ 914.9 E. other value

12. Find the coefficent of determination.

A. ≈ .877 B. ≈ .899 C. ≈ .936 D. ≈ .948 E. other value

13. Find a 90% confidence interval for the slope of the regression line.

A. [150.4, 1177] B. [250.07, 1077.33] C. [332.17, 995.23] D. [375.76, 951.64] E. other value

14. Suppose you randomly ask 500 people and 270 of them say chocolate is their favorite ice cream flavor. Perform a one-sided significance test of the hypothesis that half the population favors chocolate. How sure can you be that a majority of the population favor chocolate?

A. ≈ .9633 B. ≈ .9266 C. ≈ .0734 D. ≈ .0367 E. other value

15. Suppose your friend claims that students in a large lecture got an average test score of 85%. You randomly ask 20 students from that lecture and record an average test score of ¯x = 80% and a sample standard deviation of s = 10%, perform an appropriate one-sided significance test of your friend’s claim. How sure can you be based on the sample that your friend’s claim is false?

A. ≈ .9429 B. ≈ .9875 C. ≈ .9969 D. ≈ .9999 E. other value