Consider the data below of inches of rainfall per month for three different regions in the
Northwestern United States:
Plains Mountains Forest
March 14.8 12.6 11.0
April. 21.4 13.0 9.7
May 17.1 18.1 16.5
June 18.9 15.7 18.1
July 17.3 11.3 13.0
August 16.5 14.0 15.4
September 16.9 16.7 14.2

Using SPSS, perform a two-sample t-test to test the hypothesis that there is not the
same amount of rainfall in both the Mountains and the Forest regions in the
Northwestern United States with a significance level of 0.02. You do not need to test
Normality first. In the output, the first test in the table (Levene’s Test for Equality of
Variances), concerns whether the variances of the populations are equal (the null
hypothesis) or not (the alternative hypothesis); we are assuming unequal variances in
this course, so use the second row. If parts of your table do not export, you can copy
and paste it to preserve the test statistic and significance from SPSS, or transcribe both
of them (and include what does export from the SPSS output). You should include the
hypotheses of your test, what the P-value is from the output, and your conclusion about
the hypotheses. What are the degrees of freedom of your test statistic (using the
formula from the book)?
Then, using SPSS, perform an ANOVA test for the hypothesis that there is not the same
amount of rainfall in every region in the Northwestern United States with a significance
level of 0.03. You should include the hypotheses of your test, what the P-value is from
the output, and your conclusion about the hypotheses. What are the two degrees of
freedom of your test statistic?

This case analysis is designed to encourage you to evaluate the pricing and promotion strategies for Tesla Motors, the California based company. The company designs, manufactures, and sells electric cars and electric vehicle powertrain components. The company also provides services for the development of electric powertrain systems and components and markets its vehicles through Tesla stores and over the Internet. The company has 80 stores and galleries in North America, Europe, and Asia. Currently, Tesla Motors is planning to go into Indian market.

Imagine you have been hired as a consultant to the VP of Worldwide Sales and Service for Tesla Motors Mr. Jerome Guillen. The VP wants to get an objective opinion from someone outside the company who is familiar with international marketing basics.

Your job is to write a 1- to 3-page memo (single spaced) critically analyzing Tesla's promotion and pricing strategy for Tesla Model 3 if the company introduces this model into the market in India. Take into consideration the current promotion and pricing tactics used by the company in the United States. Make sure to address the following issues:

Evaluate if the current promotion strategies employed by Tesla Motors in the United States should be adapted to meet market needs in India. If so, how? If not, why not?

Assess if the current pricing strategies employed by Tesla Motors in the United States should be adapted to meet market needs in India. If so, how? If not, why not?

What key challenges would Tesla Motors face in India compared with its experience in China? Propose creative strategies to tackle these challenges in India.

Do you think the Tesla Model 3 would help Tesla successfully enter the Indian market? Explain your position.

Trade in Hormone-Treated Beef

In the 1970s, scientists discovered how to synthesize certain hormones and use them to accelerate the growth rate of livestock animals, reduce the fat content of meat, and increase milk production. Bovine somatotropin (BST), a growth hormone produced by cattle, was first synthesized by the biotechnology firm Genentech. Injections of BST could be used to supplement an animal’s own hormone production and increase its growth rate. These hormones soon became popular among farmers, who found that they could cut costs and help satisfy consumer demands for leaner meat. Although these hormones occurred naturally in animals, consumer groups in several countries soon raised concerns about the practice. They argued that the use of hormone supplements was unnatural and that the health consequences of consuming hormone-treated meat were unknown but might include hormonal irregularities and cancer. The European Union responded to these concerns in 1989 by banning the use of growth-promoting hormones in the production of livestock and the importation of hormone-treated meat. The ban was controversial because a reasonable consensus existed among scientists that the hormones posed no health risk. Although the EU banned hormone-treated meat, many other countries did not, including big meat-producing countries such as Australia, Canada, New Zealand, and the United States. The use of hormones soon became widespread in these countries. According to trade officials outside the EU, the European ban constituted an unfair restraint on trade. As a result of this ban, exports of meat to the EU fell. For example, U.S. red meat exports to the EU declined from $231 million in 1988 to $98 million in 1994. The complaints of meat exporters were bolstered in 1995 when Codex Aliment Arius, the international food standards body of the UN’s Food and Agriculture Organization and the World Health Organization, approved the use of growth hormones. In making this decision, Codex reviewed the scientific literature and found no evidence of a link between the consumption of hormone- treated meat and human health problems, such as cancer. Fortified by such decisions, in 1995 the United States pressed the EU to drop the import ban on hormone-treated beef. The EU refused, citing “consumer concerns about food safety.” In response, both Canada and the United States in- dependently filed formal complaints with the World Trade Organization. The United States was joined in its complaint by a number of other countries, including Australia and New Zealand. The WTO created a trade panel of three independent experts. After reviewing evidence and hearing from a range of experts and representatives of both parties, the panel in May 1997 ruled that the EU ban on hormone-treated beef was illegal because it had no scientific justification. The EU immediately indicated it would appeal the finding to the WTO court of appeals. The WTO court heard the appeal in November 1997 and in February 1998 agreed with the findings of the trade panel that the EU had not presented any scientific evidence to justify the hormone ban. This ruling left the EU in a difficult position. Legally, the EU had to lift the ban or face punitive sanctions, but the ban had wide public support in Europe. The EU feared that lifting the ban could produce a consumer backlash. Instead the EU did nothing, so in February 1999 the United States asked the WTO for permission to impose punitive sanctions on the EU. The WTO responded by allowing the United States to impose punitive tariffs valued at $120 million on EU exports to the United States. The EU decided to accept these tariffs rather than lift the ban on hormone-treated beef, and as of 2010, the ban and punitive tariffs were still in place.

Read the Country Focus “Trade in Hormone-Treated Beef.” Applying the facts of the case, answer the following questions.

a) What was the main argument that the European Union used to ban importations of hormone-treated beef? Who benefited from this ban and who did not benefit from this ban? Explain how for each case.

b) What action did the European Union take when it realized that it could face punitive actions for imposing this ban? In your opinion, what were the advantages and disadvantages of taking this action?

c)   Based on the result of the EU-U.S. trade negotiations over hormone-, treated beef, what observations can you make about the realities of

international trade in terms of national sovereignty versus national benefit? Explain your answer.

The hurricane in the Bahamas caused a small decrease in the supply of hotel rooms but a very large decrease in demand for hotel rooms as tourists cancel their planned trips. The result of these two effects on the market for hotel rooms is:

Group of answer choices

an increase in the equilibrium price and a decrease in the equilibrium quantity

a decrease in the equilibrium price and a decrease in the equilibrium quantity

an unknown change in the equilibrium price and a decrease in the equilibrium quantity

a decrease in the equilibrium price and an unknown change in the equilibrium quantity

There are 750,000 residents in a city. Based on a government poll, they fall within three groups regarding their willingness to pay for the construction of a park.

- 200,000 of the residents are not willing to pay for the park at all,

- 250,000 residents are willing to pay $12,

- 300,000 are willing to pay $100.

The cost of the park will be $15 million. Should it be built? Why or why not?

Would this answer change if the only way to pay for it is to divide the cost equally across each of the 750,000 residents? Why or why not?

IN JAVA

Write a program that calculates the occupancy rate for each floor of a hotel. (Use a sentinel value and please point out the sentinel in bold.) The program should start by asking for the number of floors in the hotel. A loop should then iterate once for each floor. During each iteration, the loop should ask the user for the number of rooms on the floor and the number of them that are occupied. After all the iterations, the program should display the number of rooms the hotel has, the number of them that are occupied, the number that are vacant, and the occupancy rate for the hotel. Input Validation: Do not accept a value less than 1 for the number of floors. Do not accept a number less than 10 for the number of rooms on a floor.

Exercise 5.4
Refer back to exercise 2.2. Suppose that you fit the model to 20 data points and found that your F – value for testing the model is useful is 49.75.

Exercise 2.2
A hotel manager is concerned about hotel room rates for a large chain of hotels. The variables to be used in this research is defined as follows:
Y = the daily rate of a room
X1 = the population of the city
X2 = the rating of the hotel (1 star to 5 stars)
X3 = the number of rooms in the hotel
X4 = the number of hotels in the city

Answer the following:

A.) Now conduct the F-test for model utility.

B.) In exercise 5.4, what is the conclusion?

In terms of job loss, North Carolina is one of the states most adversely affected by the United States-Mexico-Canada Agreement (USMCA). Assume hypothetically that North Carolina is considering a 25% tariff (tax) on all foreign-manufactured textiles and furniture items imported into the state. The tariff's purpose will be predominately protective in nature, designed to protect and advance textile and furniture manufacturers in North Carolina and to create jobs. In a 250- to 500-word (double spaced Word document) original paper, advise the lawmakers in North Carolina of the CONSTITUTIONALITY of such a tariff and what other alternative remedies are available, if any.

A. On May 29, 1790, by a mere 2 votes, Rhode Island ratified the US Constitution and completed the Union of the original 13 English colonies into the United States of America. Today more than 220 years later, the US is 50 States, additional commonwealths, and more than 320 million human lives. Generations of Americans have been born, lived, and died as the country has grown and matured. To what can we owe the longevity and strength of the United States as a country on the global stage?

1. It was created by an legal act.

2. A country is a collection of individuals and states. Collections represent stocks that last.

3. A system goes on being itself as long as the interconnections and purposes remain intact.

4. It's not a system. It's a government.

B. The software components of an information system will act as a(n) ________.

functional anchor on the human side

2. actor on the computer side

3. actor on the human side

4.bridge between the computer side and the human side

5. instruction on the computer side

C. Which phase of the customer life cycle focuses on presenting prospects with information about the value the organization provides?

1. loss/churn

2. customer endorsement

3. marketing

4. customer acquisition

5. relationship management

D. Anyone who gathers data from a variety of sources, arranges that data into meaningful structure, and then aggregates the results to discover information hidden in the details engages in what activity?

1. automation

2.data mining

3.data hiding

4.encapsulation

5. cataloging