The Tower Hotel has two operating departments: Rooms and F&B. 69% of the hotel’s total revenue is earned from room sales and the remaining revenue is earned from F&B sales. Rooms department’s contribution margin ratio is 65% and F&B department’s contribution margin ratio is 54%. If the fixed cost of the hotel is $411,206, and the management is targeting a before-tax profit of $146,476, what is the required sales revenue? (Rounded to whole numbers)

Find 2 examples of US corporations partially owned by China's SWFs. Find one recent news article (2019-2020) related to Chinese SWFs in the US. From the point of view of US firms and their shareholders, what are the pros and cons of these investments? 20 lines min.

Find 2 examples of US corporations partially owned by China's SWFs. Find one recent news article (2019-2020) related to Chinese SWFs in the US. From the point of view of US firms and their shareholders, what are the pros and cons of these investments? 20 lines min.

Read the Case - A Good Team Player and answer the following questions. Be certain to include your rationale for each response.

1. List all of the unbiased facts of the case

2. Identify the ethical issue(s)

3. Identify the stakeholder(s):

a. Describe the stakeholder(s) in this case

b. Who has an interest

c. What are their motivations

d. How much power does each hold

4. Identify the alternatives:

a. What choices are available to the parties involved

b. What courses of action can be taken in response to this situation

5. Compare and weigh the alternatives:

a. What is the impact on the stakeholders and their resulting impact on the decision maker

b. Benefits/Harms? Rights/Wrongs?

c. How do the rules of ethical decision making (utilitarianism, moral rights, justice, practical rule) influence the decision making process

6. What should the decision maker in the case decide?

a. Provide a clear decision

b. The logic for this decision should stem from your responses to the previous questions

A Good Team Player

Leadership

Steven, Assistant Department Manager
Kristin, Newly appointed supervisor of Steven's work section

Having done well as a staff accountant in the accounts payable section of a major industrial firm for several years since his graduation from college, Steven felt that he had learned much about the “ins” and “outs” of survival in an intensely bureaucratic organization. It is thus not surprising that he was relaxed and unconcerned about his circumstances at the company as he entered the employee lounge to attend the late-afternoon welcoming reception for his new supervisor.

The new manager of accounts payable, Kristin, had been transferred to Steven’s division from a similar position in another subsidiary of the company because of her proven talent for organizing and improving the efficiency of operations there. A no-nonsense type of manager, Kristin was experienced and determined to perform her new assignment with the same vigor that had brought her so much success throughout her career.

At the reception, Kristin circulated through the room, introducing herself to her new subordinates and asking each of them if they had any suggestions that would help make the payables section a better place to work. When she approached Steven, he told her about something that had been on his mind lately: that people seemed to him to gain promotions and be given opportunities to work overtime based on who liked them, and not on the quality of their work. In reply, Kristin politely stated that she would do everything that she could to see that whatever it was he was referring to would have no place in the team she would lead.

Upon his arrival at work the next day, Steven received a phone call from Kristin’s secretary asking that he meet with his new boss later that morning. He had barely entered her office for the meeting when she looked him straight in the eye and said, “I will not tolerate individuals in this organization who are not good team players. Yesterday afternoon you led me to believe that there are people in this office who are not acting in the best interests of the company, and I want to know who. I want you to tell me the names of the managers you were referring to note, and keep me informed if you see anyone hurting this company, or I’ve got to think that maybe you’re part of the problems around here.” Stunned by both the tone and content of her statement, Steven quickly tried to think of a way to respond.

Author: Michael G. Bowen, Assistant Professor of Management, University of Notre Dame

Name the distribution which seems most appropriate to each of the following random variables and specify the values of the associated parameters. [Example: “The number of students in a class of size 42 who pass Mech. Eng. 1234, given that, on average, the proportion of students who pass Mech. Eng. 1234 is 0.6”. Answer: Binomial; n = 42, p = 0.6.]

1. (i) The number of digits generated randomly and independently from {0, 1, 2, 3, 4, 5, 6, 7, 8, 9} to obtain the first occurrence of “3”.

2. (ii) The number of computers, in a lab containing 20 computers, which fail before their warranty expires, given that 5% of such computers fail before their warranty expires.

3. (iii) The number of Dell computers in a lab containing 20 computers which were chosen at random from a supply of 100 computers, 5 of which were Dells.

4. (iv) The number of reflected sub-atomic particles in an evacuated duct of a nuclear fusion reactor, when 50 particles are released in the duct. For this particular duct, 16% of all such particles are reflected, and 84% of all such particles are absorbed. The particles behave independently of each other.

5. (v) The number of graduate students on a committee of size 5 which is chosen at random from a university department consisting of 15 faculty members and 23 graduate students.

6. (vi) The number of households sampled by a sociologist, who samples until he obtains a house- hold whose head is a single female parent, given that 12% of all households are headed by a single female parent.

7. (vii) The number of deer caught and inspected by Wildlife Officers, up to the time when they catch a tagged deer, given that 1.5% of all deer are tagged.

6. About 46% of all US debt is owed to foreign governments.

a. List what you think would be two advantages to borrowing money from foreign governments by the US.

b. List what you think would be two disadvantages to borrowing money from foreign governments by the US.

c. In your own opinion, how could the fact that we owe foreign countries money we’ve borrowed from them be a possible preventive measure against the war (technological, economic, or military)?

Women athletes at the a certain university have a long-term graduation rate of 67%. Over the past several years, a random sample of 36 women athletes at the school showed that 19 eventually graduated. Does this indicate that the population proportion of women athletes who graduate from the university is now less than 67%? Use a 1% level of significance. a)What is the level of significance? b)State the null and alternate hypotheses. H0: p = 0.67; H1: p > 0.67 H0: p < 0.67; H1: p = 0.67 H0: p = 0.67; H1: p ≠ 0.67 H0: p = 0.67; H1: p < 0.67 c)What sampling distribution will you use? The Student's t, since np < 5 and nq < 5. The Student's t, since np > 5 and nq > 5. The standard normal, since np < 5 and nq < 5. The standard normal, since np > 5 and nq > 5. d)What is the value of the sample test statistic? (Round your answer to two decimal places.) e)Find the P-value of the test statistic. (Round your answer to four decimal places.) f)Sketch the sampling distribution and show the area corresponding to the P-value. g) Based on your answers in parts (a) to (c), will you reject or fail to reject the null hypothesis? Are the data statistically significant at level α? At the α = 0.01 level, we reject the null hypothesis and conclude the data are statistically significant. At the α = 0.01 level, we reject the null hypothesis and conclude the data are not statistically significant. At the α = 0.01 level, we fail to reject the null hypothesis and conclude the data are statistically significant. At the α = 0.01 level, we fail to reject the null hypothesis and conclude the data are not statistically significant. h)Interpret your conclusion in the context of the application. There is sufficient evidence at the 0.01 level to conclude that the true proportion of women athletes who graduate is less than 0.67. There is insufficient evidence at the 0.01 level to conclude that the true proportion of women athletes who graduate is less than 0.67.

Women athletes at the a certain university have a long-term graduation rate of 67%. Over the past several years, a random sample of 40 women athletes at the school showed that 21 eventually graduated. Does this indicate that the population proportion of women athletes who graduate from the university is now less than 67%? Use a 1% level of significance.

(a) State the null and alternate hypotheses.

H0: p = 0.67; H1: p ≠ 0.67

H0: p < 0.67; H1: p = 0.67

H0: p = 0.67; H1: p > 0.67

H0: p = 0.67; H1: p < 0.67

(b) What sampling distribution will you use?

The standard normal, since np < 5 and nq < 5.

The Student's t, since np > 5 and nq > 5.

The standard normal, since np > 5 and nq > 5.

The Student's t, since np < 5 and nq < 5.

What is the value of the sample test statistic? (Round your answer to two decimal places.)

(c) Find the P-value of the test statistic. (Round your answer to four decimal places.)

Sketch the sampling distribution and show the area corresponding to the P-value.

(d) Based on your answers in parts (a) to (c), will you reject or fail to reject the null hypothesis? Are the data statistically significant at level α?

At the α = 0.01 level, we reject the null hypothesis and conclude the data are statistically significant.

At the α = 0.01 level, we reject the null hypothesis and conclude the data are not statistically significant.

At the α = 0.01 level, we fail to reject the null hypothesis and conclude the data are statistically significant.

At the α = 0.01 level, we fail to reject the null hypothesis and conclude the data are not statistically significant.

(e) Interpret your conclusion in the context of the application.

There is sufficient evidence at the 0.01 level to conclude that the true proportion of women athletes who graduate is less than 0.67.

There is insufficient evidence at the 0.01 level to conclude that the true proportion of women athletes who graduate is less than 0.67.

Women athletes at the a certain university have a long-term graduation rate of 67%. Over the past several years, a random sample of 40 women athletes at the school showed that 23 eventually graduated. Does this indicate that the population proportion of women athletes who graduate from the university is now less than 67%? Use a 5% level of significance.(a) What is the level of significance?


State the null and alternate hypotheses.

H₀: p = 0.67; H₁:  p > 0.67H₀: p = 0.67; H₁:  p ≠ 0.67     H₀: p < 0.67; H₁:  p = 0.67H₀: p = 0.67; H₁:  p < 0.67

(b) What sampling distribution will you use?

The Student's t, since np < 5 and nq < 5.

The standard normal, since np > 5 and nq > 5.    

The standard normal, since np < 5 and nq < 5.

The Student's t, since np > 5 and nq > 5.

What is the value of the sample test statistic? (Round your answer to two decimal places.)


(c) Find the P-value of the test statistic. (Round your answer to four decimal places.)


Sketch the sampling distribution and show the area corresponding to the P-value.

(d) Based on your answers in parts (a) to (c), will you reject or fail to reject the null hypothesis? Are the data statistically significant at level α?

At the α = 0.05 level, we reject the null hypothesis and conclude the data are statistically significant.At the α = 0.05 level, we reject the null hypothesis and conclude the data are not statistically significant.     At the α = 0.05 level, we fail to reject the null hypothesis and conclude the data are statistically significant.At the α = 0.05 level, we fail to reject the null hypothesis and conclude the data are not statistically significant.

(e) Interpret your conclusion in the context of the application.

There is sufficient evidence at the 0.05 level to conclude that the true proportion of women athletes who graduate is less than 0.67.There is insufficient evidence at the 0.05 level to conclude that the true proportion of women athletes who graduate is less than 0.67.