Consider the Stark effect with a constant external electric field for the states n=3 of the Hidrogen atom without considering spin. Using perturbation theory for degenerated states in first order, find the eigenvalues and their degeneration.

Cases of Covid-19 first emerged in December 2019, when a mysterious illness was reported in Wuhan, China. The cause of the disease was soon confirmed as a new kind of coronavirus, and the infection has spread to a number of countries around the world. The Chinese Lunar New Year holiday, the start of which coincided with the emergence of COVID-19, is the most celebratory time of the year in China, during which a massive human migration takes place as individuals travel back to their hometowns. People in China are estimated to make close to 3 billion trips over the 40-day travel period, or Chunyun, of the Lunar New Year holiday. About 5 million people left Wuhan, the capital city of Hubei province and epicentre of the COVID-19 epidemic, before the start of the travel ban on Jan 23, 2020. About a third of those individuals travelled to locations outside of Hubei province and these people were probably the main reason for the current global pandemic.

On 11 February the World Health Organization announced that the official name would be covid-19, a shortened version of coronavirus disease 2019. The WHO refers to the specific virus that causes this disease as the covid-19 virus. This is not the formal name for the virus – the International Committee on Taxonomy of Viruses calls it the “severe acute respiratory syndrome coronavirus 2”, or SARS-CoV-2, because it is related to the virus that caused the SARS outbreak in 2003. However, to avoid confusion with SARS the WHO calls it the covid-19 virus when communicating with the public.

The WHO’s definition of a confirmed case of covid-19 is a person shown by laboratory testing to be infected with the virus, irrespective of clinical signs and symptoms. However, some reported case numbers from China have included people with symptoms of covid-19, but without laboratory confirmation.

The coronavirus death toll in mainland China increased by 42 Sunday March1, 2020, according to China’s National Health Commission (NHC). All the new deaths were in Hubei province. The additional deaths bring the total death toll in mainland China to 2,912, the NHC said. There have been 129 deaths reported outside mainland China, raising the global death toll to 3,041.

Other deaths across the globe include:

• 54 deaths in Iran
• 34 deaths in Italy
• 20 deaths in South Korea
• 12 deaths in Japan
• 2 deaths each in Hong Kong and France
• 1 death each reported in the Philippines, Taiwan, Australia, Thailand and the United States

The total number of confirmed cases in mainland China is now 80,026, bringing the global total to 88,443. The number of infected cases have also been increasing globally, including in Malaysia.

Question:

Based on the whole scenario circulating covid-19, identify a potential “solution” that can help control the pandemic from becoming a lot worse than what it is already today. The solution must NOT be from a medical or scientific point of view but from the information technology or digital business perspectives. The solution must also become economically sustainable. In your answer, your solution must fulfil a specific SBO, be categorized in a specific type of information system, has a potent business model, and fits into a specific e-commerce type and category. In addition, how will the solution benefit from social, mobile and location-based technologies and marketing? Finally, how do you intent to develop the solution (based on the assumption that it is going to be a type of information system) and ensure its web development is effectively executed?

A poll surveyed people in six countries to assess attitudes toward a variety of alternate forms of energy. Suppose the data in the following table are a portion of the poll's findings concerning whether people favor or oppose the building of new nuclear power plants.

(a)

How large was the sample in this poll?

(b)

Conduct a hypothesis test to determine whether people's attitude toward building new nuclear power plants is independent of country.

State the null and alternative hypotheses.

H₀: The attitude toward building new nuclear power plants is not mutually exclusive of the country.
H_a: The attitude toward building new nuclear power plants is mutually exclusive of the country.H₀: The attitude toward building new nuclear power plants is not independent of the country.
H_a: The attitude toward building new nuclear power plants is independent of the country.    H₀: The attitude toward building new nuclear power plants is mutually exclusive of the country.
H_a: The attitude toward building new nuclear power plants is not mutually exclusive of the country.H₀: The attitude toward building new nuclear power plants is independent of the country.
H_a: The attitude toward building new nuclear power plants is not independent of the country.

Find the value of the test statistic. (Round your answer to two decimal places.)

Find the p-value. (Round your answer to four decimal places.)

p-value =

State your conclusion.

Do not reject H₀. We cannot conclude that the attitude toward building new nuclear power plants is independent of the country.Reject H₀. We conclude that the attitude toward building new nuclear power plants is not independent of the country.    Reject H₀. We cannot conclude that the attitude toward building new nuclear power plants is independent of the country.Do not reject H₀. We conclude that the attitude toward building new nuclear power plants is not independent of the country.

(c)

Using the percentage of respondents who "strongly favor" and "favor more than oppose," which country has the most favorable attitude toward building new nuclear power plants?

Great BritainFrance    ItalySpainGermanyUnited States

Which country has the least favorable attitude?

Great BritainFrance    ItalySpainGermanyUnited States

A poll surveyed people in six countries to assess attitudes toward a variety of alternate forms of energy. Suppose the data in the following table are a portion of the poll's findings concerning whether people favor or oppose the building of new nuclear power plants.

(a)

How large was the sample in this poll?

(b)

Conduct a hypothesis test to determine whether people's attitude toward building new nuclear power plants is independent of country.

State the null and alternative hypotheses.

H₀: The attitude toward building new nuclear power plants is mutually exclusive of the country.
H_a: The attitude toward building new nuclear power plants is not mutually exclusive of the country.H₀: The attitude toward building new nuclear power plants is not mutually exclusive of the country.
H_a: The attitude toward building new nuclear power plants is mutually exclusive of the country.    H₀: The attitude toward building new nuclear power plants is not independent of the country.
H_a: The attitude toward building new nuclear power plants is independent of the country.H₀: The attitude toward building new nuclear power plants is independent of the country.
H_a: The attitude toward building new nuclear power plants is not independent of the country.

Find the value of the test statistic. (Round your answer to two decimal places.)

Find the p-value. (Round your answer to four decimal places.)

p-value =

State your conclusion.

Do not reject H₀. We conclude that the attitude toward building new nuclear power plants is not independent of the country.Do not reject H₀. We cannot conclude that the attitude toward building new nuclear power plants is independent of the country.    Reject H₀. We conclude that the attitude toward building new nuclear power plants is not independent of the country.Reject H₀. We cannot conclude that the attitude toward building new nuclear power plants is independent of the country.

(c)

Using the percentage of respondents who "strongly favor" and "favor more than oppose," which country has the most favorable attitude toward building new nuclear power plants?

Great BritainFrance    ItalySpainGermanyUnited States

Which country has the least favorable attitude?

Great BritainFrance    ItalySpainGermanyUnited States

Short-Run Exchange Rate Risk

Assume you have a trade receivable denominated in a foreign currency of your choice that is payable to you by your customer in 6 months. At the current spot rate the trade receivable is worth the equivalent of US$5,000,000. To find the current spot rate for the chosen currency pair go to http://www.hsbcnet.com/gbm/fxcalc-disp.[1] Enter 5,000,000 in the “Convert” box, United States dollar in the “From:” box, and your chosen currency in the “To:” box. Click on “Go” for the spot rate, which will be expressed in European terms, that is, units of foreign currency per one US dollar. Enter the name of the chosen currency, the date the site is accessed, and the spot rate in European terms in the table below.

To find a 180 day forward rate for the currency pair, go to http://www.hsbcnet.com/gbm/fwcalc-disp#. For “Amount” you can just enter 1 and enter US dollars in the “Buy” box and the foreign currency in the “Sell” box. For “Value Date” enter “6 Months” and click “Go” for the forward rate. (Clicking on the Inverse box will switch the rate from European to American terms.) Enter the one-year forward rate in the table below. Make sure the forward rate is expressed in the same way as the forward rate, that is, in European terms.

Based on the data above, answer the following questions:

Long-Run Exchange Rate Risk

Assume you have undertaken a 3-year investment abroad with expected cash flows denominated in your chosen currency. At the current spot rate those cash flows are expected to provide a positive net present value (NPV) in US dollar terms. Based on relative purchasing power parity you are asked to estimate future spot rates over the next three years based on comparative inflation data.[2] With that data complete the table below.

Using the data above and textbook equation (18.3) E(S_t) = S₀ ∙ [1 + (h_FC - h_US)]^t and assuming the estimated inflation rate in Year 1 also holds for Years 2 and 3, please respond to the following:

[1] Please note currencies are grouped according to their region: Americas (where the United States dollar may be found), Asia-Pacific, Europe, and MENA. Please advise your instructor should this or any other link in the assignment be broken.

[2] Sources of Inflation data include http://stats.oecd.org/ for OECD countries and http://data.worldbank.org/indicator/FP.CPI.TOTL.ZG at the World Bank site. It is viewed important to be consistent in the definition and source of inflation numbers for the US and the other currency that you use for the relative PPP equation. The most basic definitions of inflation are consumer price index (CPI), producer price index (PPI), and GDP deflator. Estimates of the next year’s inflation are preferred but it is also common to use the past year’s inflation as the best estimate of next year’s and subsequent years’ inflation. You are encouraged to share any useful websites for this data you find with the class.

Write the adjusting entry for the following transactions: Insurance expense: On February 28, 2020 Stark Industries paid $1,212 for a sixmonth insurance policy on the automobile purchased that date; on March 31, 2020, Stark Industries renewed and paid for the one-year policy on the equipment at a cost of $960.

Case Study: Supply Chain Trends The Do-Green Solar Systems case addresses challenges faced by a Canadian manufacturer as a result of the CUSMA trade agreement. As you read through the case, think abou the challenges, risks and complexities in changing their supply chain from North Americanto Internationalmarkets. Do-Green Solar Systems Taylor Douglas, V.P of Do-Green Solar Systems, was evaluating the strategic position of the company. With the new Canada-United States-Mexico (CUSMA) agreement in place and the uncertainty around future trade with the United States Taylor was pondering the future direction of Do-Green. Do-Green’s History Taylor grew up in the family business. Established in 2000 Do-Green began as a family run electrical contracting company. Their core business focused on providing residential electrical contracting for new home construction as well as renovations and electrical upgrades to existing homes. As the business grew Taylor began to deal more and more with requests from customers for solar power options for their homes. Taylor realized that the market for residential solar power was growing. Supply agreement/partnership attempts with solar component suppliers proved to be unreliable. It was at that point Taylor decided to purchase a facility to begin manufacturing solar power components for residential use. In 2004 Do-Green Solar Systems was formed. Do-Green was now involved in both the manufacture and installation of solar power systems for residential use. The business saw steady growth through 2006. Do-Green had established a lucrative business niche for itself. New Opportunities At the same time that Do-Green was establishing itself, Canadian’s saw the expansion of big box home improvement retailers and the proliferation of the “do-it-yourself” craze. In 2008 Taylor Douglas approached several home improvement retailers and in 2009 Do-Green signed a supply agreement with a big box home improvement retailer to stock their products in 25 stores across Ontario. People could now purchase and install their own residential solar power systems and Do-Green’s business profile evolved into that of a manufacturer/distributor. To meet the increased production demands Do-Green acquired a local mid-size manufacturing facility. For the next two years Do-Green settled into its new business model as installer, manufacturer and retail distributor of solar power systems for residential use. Do-Green Becomes Leaner and Looks to New Markets Not one to rest on past successes, Taylor began to look at ways to grow the business. It was now 2011. The Canadian dollar was at par with the U.S. dollar and Taylor wanted to break into the U.S. market. To do that additional capacity needed to be purchased or Do-Green needed to find ways to run their operation more effectively and efficiently. Taylor decided to look within the company for capacity improvement opportunities. Do-Green increased their capacity through several initiatives. They invested in an ERP system which allowed then to increase productivity and fully integrate the ordering and procurement process. Supply chain visibility increased. Do-Green could now receive replenishment orders from retailers directly into their system. This enabled them to reduce raw material, work in process and finished goods inventories by a combined 20%. Do-Green also implemented lean process integration throughout their operation. This accounted for an additional 15% increase in production capacity. Once fully implemented these initiatives accounted additional capacity of 30%. Delivery times were reduced from three days to one. With the newly found capacity Taylor approached the U.S. affiliate of the Canadian home improvement retailer. In 2012 Do-Green signed a contract to supply 30 U.S. based stores throughout the North East states. For the next several years Do-Green established themselves as a major stakeholder in the residential solar power industry. The Canadian Dollar Loses Value In 2014 the Canadian dollar began to lose value against the U.S. dollar. Taylor and the Do-Green management team looked to further streamline their manufacturing and distribution network. Profits began to shrink as the devalued Canadian dollar began to become a real issue for Do-Green shareholders. However, even with the exchange rate being what it was, the company remained strong and profits were steady. Do-Green Goes Green With consistent demand and a reliable and robust supply/distribution system in place in both Canada and the U.S. Taylor began to focus on sustainability issues within the supply chain. Much of the dunnage and packaging Do-Green used to ship their product to retail distributors could be reused. Taylor began to develop a reverse supply chain where packaging and dunnage was returned to the Do-Green manufacturing facility to be used again. This initiative helped to further Do-Greens reputation of being a sustainable and environmentally conscious organization. Cost savings were also realized through the reverse supply chain program which helped offset the ongoing disparity between the Canadian and U.S. dollar. The New Frontier As Taylor Douglas pondered the new strategic direction of Do-Green, Taylor knew the exact date that Do-Green’s future was in jeopardy. On November 30, 2018 the (CUSMA) Canada United States Mexico agreement was signed. This new trade agreement took the place of the long standing NAFTA trade agreement. Under the CUSMA agreement Do-Green now faced higher tariffs to export into the U.S. This combined with an even weaker Canadian dollar meant that Do-Green had to change direction. The U.S. market was no longer viable. Taylor and the Do-Green management team knew there were market entry opportunities offshore. With 1.4 billion people and 18% of the world’s population, China was the obvious choice. Do-Green had to develop a new international supply strategy if they wanted to do business in China. Issues and Concerns Concerns regarding exporting to China were many. Taylor knew there would be logistical issues. Currently trucks left their facility and delivered directly to retail stores in both Canada and the U.S. International supply chains required multi-tiered distribution systems. There would be currency issues to consider as well as the potential for theft of products, product design and company intelligence. ERP and technology compatibility with Chinese distribution partners was of concern. Do-Green’s operational concept of being a lean organization would be taxed. The longer the supply chain the more inventory investment was required. With a longer more diverse supply chain Taylor knew that risk would increase, supply chain visibility would decrease and overall control reduced. As a green company Do-Green would incur added cost to retain its circular supply chain. Taylor knew that reclaiming packaging from China posed significant logistical and cost considerations. Among other things to consider there was the risk of natural disasters, terrorism and labour disputes potentially disrupting the supply chain. Where to go From Here Taylor and the Do-Green management team had some significant strategic planning issues to consider. They understood supply chain trends were heading toward more diverse and complex systems in the delivery of products and services worldwide. They realized that they needed to resolve a significant number of issues if Do-Green wanted to compete in the global supply chain.

1. Name and explain at least three risks the company faces and what dimensions of supply chain risk these fall under.

CHAPTER 8 - CASE SYNOPSIS—Sturdza v. United Arab EmiratesThe United Arab Emirates (UAE) held a competition for the design of an embassy inWashington, D.C. Elena Sturdza—an architect not licensed in the District of Columbia—won.Sturdza and the UAE exchanged proposals, but the UAE stopped communicating with her. Abouttwo years later, Sturdza learned that the UAE had contracted with a District of Columbia architectnamed Angelos Demetriou to use his design. Sturdza filed a suit in a federal district court against theUAE, alleging breach of contract. The court issued a summary judgment in the UAE’s favor. Sturdzaappealed to the U.S. Court of Appeals for the District of Columbia Circuit. This court asked theDistrict of Columbia Court of Appeals “precisely how D.C. law applies” in this situation.The District of Columbia Court of Appeals’ answer: an architect cannot recover on a contract toperform architectural services in the District of Columbia if he or she lacks a District of Columbialicense. For the safety of those who work in and visit buildings in the District of Columbia, and thesafety of their neighbors, the architects who design them and oversee their construction should bequalified and licensed. The statute contains no exception.

The architectural services at the center of this case were to be performed for a foreign embassy.Should the court have made an exception for such a circumstance? Why or why not?

manufacturer of colored candies states that

1313​%

of the candies in a bag should be​ brown,

1414​%

​yellow,

1313​%

​red,

2424​%

​blue,

2020​%

​orange, and

1616​%

green. A student randomly selected a bag of colored candies. He counted the number of candies of each color and obtained the results shown in the table. Test whether the bag of colored candies follows the distribution stated above at the

alpha equalsα=0.050.05

level of significance.

LOADING...

Click the icon to view the table.

Determine the null and alternative hypotheses. Choose the correct answer below.

A.

H0​:

The distribution of colors is the same as stated by the manufacturer.

H1​:

The distribution of colors is not the same as stated by the manufacturer.This is the correct answer.

B.

H0​:

The distribution of colors is not the same as stated by the manufacturer.

H1​:

The distribution of colors is the same as stated by the manufacturer.

C.

None of these.

Your answer is not correct.

Compute the expected counts for each color.

What is the test​ statistic?