In its user service agreement, Facebook includes a forum selection clause that requires users with legal disputes to file any lawsuits against Facebook in courts physically located near its northern California corporate headquarters. Review the discussion of this issue in your textbook (Legal Strategy 101, pp. 100-101); then, analyze the following questions:

1. Is forum shopping ethical? What are you using as your ethical standard?
2. Should courts enforce forum selection clauses in business-to-consumer contracts like the Facebook user agreement? Why or why not?
3. Suppose Facebook did not have a forum selection clause in its user agreement. Would Facebook be subject to the jurisdiction of every state court in the United States, since it has millions of users in every U.S. state?

This assignment requires that you analyze both a legal concept (forum shopping) and its application in a business contract (forum selection clause). Read the course material and the assignment carefully, and do not confuse or conflate the two.

Refer to the Assignment Instructions folder of the course for general directions and grading rubrics for Discussion Boards, including requirements for word length, scholarly sources, and integration of a Biblical worldview.

Use the words "Ethical" or "Not Ethical" in the subject line of your thread to identify your conclusion. Do not use attachments, as these are cumbersome and inhibit the discussion process.

Major health studies try very hard to select a sample that is representative of the various ethnic groups making up the U.S. population. Here is the breakdown, by ethnicity, of subjects enrolled in a major study of sleep apnea:

The known ethnic distribution in the United States, according to census data, is as follows:

a. We want to know if the data from the sleep apnea study support the claim that the ethnicity of the subjects fits the ethnic composition of the U.S. population. What does the null hypothesis for this test state?

1. All five counts are equal.
2. All five sample proportions are equal.
3. All five population proportions are equal.
4. All five population proportions are equal to their respective U.S. census proportions.

b. What is the expected count of Hispanics under the null hypothesis (show calculation)?

a. 277

b. 25.207

c. 572.754

d. 152.72

c. At significance level alpha = 1%, what should you conclude

1. a. composition of the U.S. population.
2. b. The data are consistent with a uniform distribution of ethnicities.
3. c. The data prove that the population studied matches the ethnic composition of the U.S. population.
4. e. We are unable to conclude anything because the test assumptions are not met.

Each year a market research company surveys new car owners 90 days after they purchase their cars. This data is used to rate auto brands (such as Toyota and Ford) on quality and customer satisfaction. Suppose the following were the quality rating and satisfaction scores for all 33 brands sold in the United States.

A)

Compute the value of the correlation coefficient. (Round your answer to three decimal places.)

r =  

Answer A!...

High Country, Inc., produces and sells many recreational products. The company has just opened a new plant to produce a folding camp cot that will be marketed throughout the United States. The following cost and revenue data relate to May, the first month of the plant’s operation:

Management is anxious to assess the profitability of the new camp cot during the month of May.

Required:

1. Assume that the company uses absorption costing.

a. Determine the unit product cost.

b. Prepare an income statement for May. Assume that the company uses absorption costing.

2. Assume that the company uses variable costing.

a. Determine the unit product cost.

b. Prepare a contribution format income statement for May.

Prepare a contribution format income statement for May. Assume that the company uses variable costing.

In this project, you will collect data from real world to construct a multiple regression model. The resulting model will be used for a prediction purpose. For example, suppose you are interested in “sales price of houses”. In a multiple regression model, this is called a “response variable”. There are many important factors that affect the prices of houses.

Those factors include size (square feet), number of bedrooms, number of baths, age of the house, distance to a major grocery store. The factors (or variables) which are used for a multiple regression model are called “explanatory variables” (or “independent variables”). Good choice of explanatory variables is one of the most important steps to construct a good multiple regression model. www.zillow.com, One of the most recognized realtor website in United States, provides predicted prices (“zestimate”) of houses. Now the goal of the project is to construct your own prediction model of house prices. The first step of the project is to decide which explanatory variables you will use. In this project, please find at least four explanatory variables.

Next step is data collection. You are required to collect at least 100 observations (samples). Otherwise, you will not get full credits. Each observation must include sales value and all the values of explanatory variables of your choice. For example, if your explanatory variables are size, number of beds, number of baths, and age of houses, then the data set must be of the following form

The Cotton Mill is an upscale chain of women's clothing stores, located in the southwestern United States. Do to recent success, The Cotton Mill's top management is planning to expand by locating new stores in other regions of the country. The director of planning has been asked to study the relationship between yearly sales and the store size. As part of the study, the director selects a sample of 25 stores and determines the size of the store in square feet and the sales for the last year. The sample data follows.

Store size (1000s of square feet)        Sales ( millions of $ )

     3.7                                                9.18

     2.0                                                4.58

     5.0                                                8.22

     0.7                                                1.45

     2.6                                                6.51

     2.9                                                2.82

     5.2                                               10.45

     5.9                                                 9.94

     3.0                                                 4.43

     2.4                                                 4.75

     2.4                                                 7.30

   0.5                                                 3.33

   5.0                                                 6.67

   0.4 0.55

   4.2 7.56

   3.1 2.23

   2.6 4.49

   5.2 9.90

   3.3 8.93

   3.2 7.60

   4.9 3.71

   5.5 5.47

   2.9 8.22

   2.2 7.17

   2.3 4.35

Using store size as the independent variable, run the data using excel and answer the following: 1. Write the regression equation. 2. Interpret the regression constant and regression coefficient. 3. Forecast a value for the dependent variable. 4. Test the significant of the regression coefficient using alpha = .05. 5. Test the overall significant of the regression model. 6. Interpret the coefficient of determination.  

The Financial Accounting Standards Board (FASB) is a private, non-profit organization standard setting body whose primary purpose is to establish and improve generally accepted accounting principles (GAAP) within the United States in the public's interest.

Prepare a 2-3 page analysis discussing if you think this FASB proposal is a good idea now that you have seen the impact on the financial statements or if you think there is a potential for misleading financial statements as a result of this proposal.

One-Year Contract Robert S. Ohanian was vice president of sales for the West Region of Avis Rent a Car System, Inc. (Avis). Officers of Avis testified that Ohanian’s performance in the West Region was excellent, and, in a depressed economic period, Ohanian’s West Region stood out as the one region that was growing and profitable. In the fall of 1980, when Avis’s Northeast Region was doing badly, the president of Avis asked Ohanian to take over that region. Ohanian was reluctant to do so because he and his family liked living in San Francisco, and he had developed a good team in the West Region, was secure in his position, and feared the politics of the Northeast Region. Ohanian agreed to the transfer only after the general manager of Avis orally told him “unless you screw up badly, there is no way you are going to get fired— you will never get hurt here in this company.” Ohanian did a commendable job in the Northeast Region. Approximately one year later, at the age of 47, Ohanian was fired without cause by Avis. Ohanian sued Avis for breach of the oral lifetime contract. Avis asserted the Statute of Frauds against this claim. Who wins? Ohanian v. Avis Rent a Car System, Inc., 779 F.2d 101, Web 1985 U.S. App. Lexis 25456 (United States Court of Appeals for the Second Circuit)

House prices: The following table presents prices, in thousands of dollars, of single-family homes for 20 of the 25 largest metropolitan areas in the United States for the third quarter of 2012 and the third quarter of 2013.

Source: National Realtors Association

(a) Find the mean and median price for 2012. Round the answers to at least two decimal places.

(b) Find the mean and median price for 2013. Round the answers to at least two decimal places.

(c) In general, house prices increased from 2012 to 2013. Which increased more, the mean or the median?

Airbus sold an A400 aircraft to Delta Airlines, a U.S. company, and billed $30 million pay- able in six months. Airbus is concerned about the euro proceeds from international sales and would like to control exchange risk. The current spot exchange rate is $1.05/€ and the six-month forward exchange rate is $1.10/€. Airbus can buy a six-month put option on U.S. dollars with a strike price of €0.95/$ for a premium of €0.02 per U.S. dollar. Currently, six- month interest rate is 2.5 percent in the euro zone and 3.0 percent in the United States. a. Should a firm hedge? Why or why not? b. Compute the guaranteed euro proceeds from the American sale if Airbus decides to hedge using a forward contract. c. If Airbus decides to hedge using money market instruments, what action does Airbus need to take? What would be the guaranteed euro proceeds from the American sale in this case? d. If Airbus decides to hedge using put options on U.S. dollars, what would be the “expected” euro proceeds from the American sale? Assume that Airbus regards the current forward exchange rate as an unbiased predictor of the future spot exchange rate. e. At what future spot exchange do you think Airbus will be indifferent between the option and money market hedge?