In your opinion how can a college or university create a culture of entrepreneurship to the campus and community? Explain in 500 words or less
In: Operations Management
500 words on how would you use the skills you learned at american intercontinential university to benefit others and society
In: Accounting
Q; What are the asset of a university and what kind of issues should be mentioned in a public security policy if this asset should be protected?
In: Computer Science
As a member of the international strategic management team in your company, you are assigned the task of exploring potential foreign market entry. As part of your initial investigation, you want to know if there is a difference between developed markets and emerging markets with respect to the time required to start a business. You select 15 developed countries and 15 emerging countries. The time required to start a business, defined as the number of days needed to complete the procedures to legally operate a business in these countries, is stored in ForeignMarket
| Country | Level of Development | Time Required to Start a Business (days) |
| Argentina | Emerging | 26 |
| Australia | Developed | 2 |
| Austria | Developed | 25 |
| Brazil | Emerging | 119 |
| Canada | Developed | 5 |
| Chile | Emerging | 8 |
| China | Emerging | 33 |
| Denmark | Developed | 6 |
| Egypt | Emerging | 7 |
| Finland | Developed | 14 |
| France | Developed | 7 |
| Germany | Developed | 15 |
| Hungary | Emerging | 5 |
| India | Emerging | 27 |
| Italy | Developed | 6 |
| Japan | Developed | 23 |
| Korea, Rep. | Emerging | 7 |
| Malaysia | Emerging | 6 |
| Mexico | Emerging | 9 |
| Poland | Emerging | 32 |
| Romania | Emerging | 10 |
| Russian Federation | Emerging | 18 |
| Singapore | Developed | 3 |
| South Africa | Emerging | 19 |
| Spain | Developed | 28 |
| Sweden | Developed | 16 |
| Switzerland | Developed | 18 |
| Thailand | Emerging | 29 |
| United Kingdom | Developed | 13 |
| United States | Developed |
6 |
Kindly provide step by step solution for excel with the conclusion.
In: Statistics and Probability
As a member of the international strategic management team in your company, you are assigned the task of exploring potential foreign market entry. As part of your initial investigation, you want to know if there is a difference between developed markets and emerging markets with respect to the time required to start a business. You select 15 developed countries and 15 emerging countries. The time required to start a business, defined as the number of days needed to complete the procedures to legally operate a business in these countries
| Country | Level of Development | Time Required to Start a Business (days) |
| Argentina | Emerging | 26 |
| Australia | Developed | 2 |
| Austria | Developed | 25 |
| Brazil | Emerging | 119 |
| Canada | Developed | 5 |
| Chile | Emerging | 8 |
| China | Emerging | 33 |
| Denmark | Developed | 6 |
| Egypt | Emerging | 7 |
| Finland | Developed | 14 |
| France | Developed | 7 |
| Germany | Developed | 15 |
| Hungary | Emerging | 5 |
| India | Emerging | 27 |
| Italy | Developed | 6 |
| Japan | Developed | 23 |
| Korea, Rep. | Emerging | 7 |
| Malaysia | Emerging | 6 |
| Mexico | Emerging | 9 |
| Poland | Emerging | 32 |
| Romania | Emerging | 10 |
| Russian Federation | Emerging | 18 |
| Singapore | Developed | 3 |
| South Africa | Emerging | 19 |
| Spain | Developed | 28 |
| Sweden | Developed | 16 |
| Switzerland | Developed | 18 |
| Thailand | Emerging | 29 |
| United Kingdom | Developed | 13 |
| United States | Developed |
6 |
Kindly provide step by step solution for excel with the conclusion.
In: Statistics and Probability
Case 4-35 (Garrison Text – 11thCanadian Edition)
Break-Even Levels for Individual Products in a Multi-Product Company
Jasmine Richards met her boss, Rick McNeil, at the pop machine in the lobby. McNeil is the vice president of marketing at Down East Lures Corporation. Richards was puzzled by some calculations she had been doing, so she initiated this conversation:
Richards: Rick, I’m not sure how to go about answering the questions that came up at the meeting with the president yesterday.
McNeil: What’s the problem?
Richards: The president wanted to know the break-even point for each of the company’s products, but I’m having trouble figuring them out.
McNeil: I’m sure you can handle it, Jasmine. And, by the way, I need your analysis on my desk tomorrow morning at 8:00 A.M. sharp so I can look at it before the follow-up meeting at 9:00.
Down East Lures makes three fishing lures in its manufacturing facility in Prince Edward Island. Data concerning these products appear below:
Frog Minnow Worm
Normal annual sales volume (units) 100,000 200,000 300,000
Unit selling price $2.00 $1.40 $0.80
Variable cost per unit $1.20 $0.80 $0.50
Total fixed expenses for the entire company are $282,000 per year. All three products are sold in highly competitive markets, so the company is unable to raise its prices without losing unacceptable numbers of customers. The company has no work in process or finished goods inventories due to an extremely effective lean manufacturing system.
Required:
What is the company’s overall break-even point in total sales dollars?
Of the total fixed costs of $282,000, $18,000 relate directly to the Frog lure product, $96,000 relate directly to the Minnow lure product, and $60,000 relate directly to the Worm lure product. The remaining fixed expenses of $108,000 consist of common fixed costs such as administrative salaries, rent on the factory building, and advertising expenses for the company as a whole. These common fixed expenses are not directly related to any particular product but must be incurred as part of operating the business.
What is the break-even point in units for each product?
Note: Management insists that Richards separately calculate the break-even point for each product using its CM per unit and only the fixed expenses that relate directly to that product.
If the company sells exactly the break-even quantity of each product calculated in (a), calculate the overall profit of the company.
Explain this result to management.
Calculate the company’s overall break-even point in units using the weighted-average CM approach.
How many units of each product must be sold at the break-even level?
Comment on any significant differences you see between these results and those of (a) above.
In: Accounting
Problem 15-33 (Algorithmic)
Kolkmeyer Manufacturing Company is considering adding two machines to its manufacturing operation. This addition will bring the number of machines to nine. The president of Kolkmeyer asked for a study of the need to add a second employee to the repair operation. The arrival rate is 0.06 machines per hour for each machine, and the service rate for each individual assigned to the repair operation is 0.5 machines per hour.
| P0 | = | |
| Lq | = | |
| L | = | |
| Wq | = hours | |
| W | = hours |
| P0 | = | |
| Lq | = | |
| L | = | |
| Wq | = hours | |
| W | = hours |
In: Statistics and Probability
Kolkmeyer Manufacturing Company is considering adding two machines to its manufacturing operation. This addition will bring the number of machines to ten. The president of Kolkmeyer asked for a study of the need to add a second employee to the repair operation. The arrival rate is 0.05 machines per hour for each machine, and the service rate for each individual assigned to the repair operation is 0.4 machines per hour.
| P0 | =? | |
| Lq | =? | |
| L | =? | |
| Wq | =? hours | |
| W | =? hours |
| P0 | =? | |
| Lq | =? | |
| L | =? | |
| Wq | =? hours | |
| W | = ? hours |
In: Statistics and Probability
In this section we will study the problem of gender-wage discrimination. It is often argued that women are paid less than equally qualified men to do the same job. This is also true in academia. The University of Calgary administrators are trying to determine the gender earnings gap in order to `compensate' women who are underpaid. In the empirical analyses that follow, the following variables are defined as:
Y - Log earnings
F - female indicator
Age - age of individual
Assoc - indicator for Associate Professor Rank
Full - indicator for Full Professor Rank
ϴf- faculty/college indicators (e.g., Social Science, Engineering, Business...)
ϴd- department indicators (e.g., economics, history...)
E[Yi|Fi = 1] - E[Yi|Fi = 0]
Do you think that this identified the causal effect of being a woman on wage? Explain.
Yi = β0 + αFi + εi (1)
What variation in the data is being used to identify the male-female difference in earnings?
Yi = β0 + αFi + βAgei + εi (2)
How does adding age to the regression change the source of variation used in identifying the male-
female wage differential?
If female professors are, on average, younger than male professors, how would you expect the estimate of α to change from equation (1)?
Yi = β0 + αFi + βAgei + γ1Associ + γ1Fulli + εi (3)
Now what variation in the data is used to identify the male-female difference in earnings? How would the estimate of α change relative to equation (1) if females are over-represented in the assistant professor rank?
Yi = β0 + αFi + βAgei + γ1Associ + γ1Fulli + ϴf + εi (4)
Now what variation in the data is used to identify the male-female difference in earnings? How would the estimate of α change relative to question 2 if females are over-represented in the higher paying faculties/colleges? What is the difference between running this regression and running regression 3 separately for each faculty/college?
In: Physics
1. Identify which test the scenario will use: independent samples t test, paired samples t test, chi square test for goodness of fit, chi square test for independence or chi square test for homogeneity.
A. A researcher goes to the parking lot at a large grocery chain and observes whether each person is male or female and whether they return the cart to the correct spot before Chi leaving (yes or no).
B. Amber Sanchez, a statistics student, collected data on the prices of the same items at the Navy commissary on the naval base in Ventura County, California, and a nearby Kmart The items were matched for content, manufacturer, and size and were priced separately
C. A random survey of automobiles parked in the student lot and the staff lot at a large university classified the brands as either domestic or foreign.
D. Surfers and statistics students Rex Robinson and Sandy Hudson collected data on the number of days on which surfers surfed in the last month for 30 random longboard users and 30 random shortboard users. Test the hypothesis that the mean days surfed for all long boarders is larger than the mean days surfed for all short boarders (because longboards can go out in many different surfing conditions)
E. Suppose you have a random sample of students attending a public university in Nevada and want to determine whether the racial distribution of students different from the racial distribution in the state as a whole
F. Compare the weekday and weekend/holiday hours of sleep. Each pair of numbers is from one randomly selected person.
G. Students observe the number of office hours posted for a random sample of tenured and a random sample of untenured professors
H . Based on a random sample of students at a university, you wish to determine if there is an association between whether or not a student is a transfer student and whether he or she belongs to an on-campus club.
In: Statistics and Probability