The Choice of Family or Love Essay Example for Free

The Choice of Family or Love Essay Romeo and Juliet is an unfortunate play that passes on the significance of decisions made due to genuine affection. One of the significant decisions, which is additionally a topic, it is the choice of picking family or genuine affection. During William Shakespeare’s play Romeo and Juliet, Romeo and Juliet settle on decisions that lead up to them taking their lives. During this play Romeo and Juliet, the offspring of quarreling families (the Capulets and Montagues), become hopelessly enamored and are compelled to picked between their families or genuine romance. After they meet at the ball, Romeo settles on the decision to illegal enter Capulet property to see Juliet once more. Not long after they consent to proceed to be hitched. Juliet, who should wed County Paris yet is currently covertly hitched to Romeo, settles on the choice to profess to kick the bucket so she won't need to wed Paris and can flee with Romeo. Romeo and Juliet settle on decisions that favor each other over adoration their own lives. The primary decision prompting passing is Romeo sneaking onto Capulet property to see Juliet after the ball. This decision connotes Romeo’s insubordination on his family since he trespasses on his family’s enemy’s property to see their little girl. Neither Romeo nor Juliet care that their families are adversaries for Juliet says, â€Å"Tis yet thy name that is my adversary. /Thou workmanship thyself, however not a Monague. /What’s Monague? It is nor hand, nor foot,/nor arm, nor face, nor some other part/Belonging to a man†¦That which we call a rose/By some other name would smell as sweet† (Shakespeare 2.2.40-44) to which Romeo answers, â€Å"I take thee at thy word. /Call me yet love, and I’ll be new purified through water;/Henceforth I never will be called Romeo† (Shakespeare 2.2.49-51). Juliet makes an honest feeling when she says that Montague is only a name and that Romeo, or some other individual, is in excess of a simply name. She additionally expresses that a name doesn't portray a person’s character or appearance; that a name doesn't change who an individual genuinely is. Romeo is enamored and concurs with Juliet; he expresses, that in the event that she needed, he would not be considered Romeo or a Monatgue any more (Shakespeare 2.2.61). As Romeo and Juliet fall further infatuated they start to settle on more decisions that deny their families and put their own lives at serious risk. Hence, the following decision Romeo and Juliet make may have fixed their destiny. Soon after they initially meet Romeo and Juliet consent to be subtly hitched by Friar Lawrence. Juliet has been orchestrated to wed County Paris, however she adores Romeo so she consents to wed him in mystery with just two others knowing: Friar Lawrence and Juliet’s nurture. From the outset Juliet was impervious to be hitched however in the wake of going into her home for a second she rapidly arrives at a choice; she says â€Å"Thy reason marriage, send me word tomorrow†¦/Where and what time thou shrink preform the rite†¦Ã¢â‚¬  (Shakespeare 2.2.144-146). Juliet converses with her medical attendant while she is in her home and after she return she consents to be hitched to Romeo, which he was caught off guard for on the grounds that she had early stated, â€Å"I have no delight of this agreement tonight† (Shakespeare 2.2. 117). The following day they meet in Friar Lawrenceâ€⠄¢s cell to be marry, for it is a short, mystery wedding. In the wake of being hitched, Romeo and Juliet saved their destiny everlastingly, never to be changed on account of the affection they feel for one another. An official conclusion that finishes to Romeo and Juliet both kicking the bucket is when Juliet takes a mixture from Friar Lawrence to make he look dead. Romeo had been exiled from Verona and Juliet was expected to wed Paris, so in her depression Juliet went to Friar Lawrence. Monk Lawrence thought of an arrangement: Juliet was to take a dozing draft that would make her seem as though she was dead; at that point Friar Lawrence would send a letter to Romeo advising him to come and see her stir from the draft. Juliet took the draft yet the letter never got to Romeo; one of his hirelings revealed to him that Juliet was dead. In his wretchedness Romeo came back to Verona. He showed up at Juliet’s burial chamber and got into a battle with Paris, where Paris lost and kicked the bucket. At that point seeing Juliet dead, Romeo took a toxic substance and ended it all. Juliet at long last got up to discover Romeo dead; and in her torment she attempts to harm herself, as well. At the point when she hears individuals showing up Juliet understands that when the toxin would execute her it would be to late, so she cut herself with Romeo’s blade (Shakespeare 5.3.169). All in all Romeo and Juliet’s love for one another winds up slaughtering them both. William Shakespeare’s play Romeo and Juliet is an unfortunate romantic tale. Genuine affection is a temperance each individual should understanding yet in this play it transforms into a killer. Romeo and Juliet’s decisions constrain them to take their lives with self destruction whether it was planned or not. At long last Romeo and Juliet’s passings were acceptable in light of the fact that they can live respectively, always; and the quarrel of the Capulet and Montague families finished. In spite of the fact that genuine affection wound up slaughtering them, Romeo and Juliet settled on the correct decision in picking love over their families on the grounds that their families were not extremely faithful in empowering them settling on their own decisions and having their own life to live and begin to look all starry eyed at whoever they pick.

Obesity Is Not a Personal Problem

Stoutness is anything but a Personal Problem As the weight wave crashes over the United States, more Americans are paying cash based to prosper the $33 billion business diet industry (Spake 283). As American’s belts keep on extending, they submerge themselves in one of the biggest, most shameful customer advertises: the weight reduction industry. Amanda Spake, creator of â€Å"Rethinking Weight†, delivers the inquiry regarding who should take care of the general expense of health improvement plans. Spake challenges that insurance agencies should pay for the costs that corpulent individuals experience. This, she states, is because of the way that stoutness is an organic â€Å"disease† and it ought to be dealt with and paid for like some other basic sickness (283). In this article, Spake doesn't present the significance of physical movement, just examining ineffective abstaining from excessive food intake encounters and awful hereditary cosmetics. In spite of the fact that Spake quickly proposes that practicing is a bit of leeway to the individuals who are fat, she puts the single fault for stoutness on the hereditary perspective. From 1986 to 2000, the quantity of individuals who are seriously obeseâ€which is recognized by having a weight list of 40 or moreâ€has quadrupled, from around 1 out of 200 grown-ups to 1 in each 50. This frightening measurement has made more individuals know about this rising event that has cleared over the United States. Stoutness has clinical experts stressing; not exclusively are the quantities of overweight individuals proceeding to rise yet weight-related clinical expenses are taking off. Medicinal services costs for ailments because of corpulence have now surpassed those identified with both smoking and liquor abuse. The heftiness scourge is a major supporter of soaring human services costs in the United States, incompletely because of the weight-related sicknesses that come connected at the hip with corpulence. Infirmities, for example, type II diabetes, coronary illness, hypertension, and elevated cholesterol are firmly associated with stoutness and a disturbing 80 percent of large grown-ups experience the ill effects of one of these hazardous infections (Spake 283). Many research establishments are currently interfacing corpulence to a person’s hereditary cosmetics, considering it an organic advancement that an individual can't control. Spake proposes that insurance agencies should take care of the expenses of corpulence as it is a hereditarily and naturally decided infection in this way the individual doesn't be able to shed pounds all alone. Subsequently, analysts recommend that remembering the treatment of stoutness for medicinal services plans may carry science and rational soundness to the disorder of weight reduction (Spake 286). Numerous specialists don't recognize corpulence as an illness in dread that undesirable get-healthy plans will sometime be viewed as satisfactory treatment and eventually commanded to be secured by protection. Despite the fact that Spake approves her attestations by sponsorship up her words with solid sentiments and insights, she debilitates her contention by not tending to the significance of physical action. Maria Pfisterer is a large mother who Spake claims has attempted each weight reduction technique possible. Be that as it may, no place does it say that notwithstanding the medications and â€Å"quick-weight reduction fads† Pfisterer had endeavored to incorporate an activity system. She guaranteed that the entirety of the projects she attempted brought about a couple of pounds lost and many more picked up; continually coming back to the equivalent 197 to 202 pound go. Being overweight is the consequence of a certain something: eating more food than one consumes (Spake 285). No place in the article does Spake propose that physical action is a successful, solid and cheap approach to shed pounds, deciding to advance the possibility that weight reduction comes just from expensive slimming down projects. In her article, Spake claims that hereditary qualities are the sole factor for heftiness in America. There are numerous different elements referenced in the article that play into someone’s weight including the food they eat, their degree of physical movement, and cultural factors, for example, promoting. Additionally, Spake cites Arthur Frank, chief of George Washington University’s Weight Management Program, â€Å"So saying to a stout individual who needs to get more fit, ‘All you need to do is eat less,’ resembles saying to an individual experiencing asthma, ‘All you need to do is inhale better’† (284). Corpulence and asthma are two altogether different things in this manner ought not be analyzed. A person who is overweight can assume responsibility for their weight-gain by assuming increasingly close to home liability and settling on more beneficial decisions. In any case, asthma is an incendiary issue that can strike whenever which makes an individual wheeze or heave for air where an individual can't control its belongings. Not every person concurs that stoutness ought to be viewed as a malady, some expressing that the corpulence pandemic can be toppled by people taking increasingly close to home responsibility for their prosperity and selecting to settle on more advantageous way of life decisions (Spake 283). In a frightened endeavor to cause perusers to accept that corpulence ought to be viewed as an ailment and insurance agencies should take care of the expense of the individual’s costs, Spake neglects to give enough proof to help her case. She keeps up that overweight individuals have a hereditary blemish that makes them be helpless to weight gain. Physical exercise, which is only here and there referenced in Spake’s article, is a significant weight reduction device that assists with consuming the additional calories an individual’s body doesn't consume all alone. Spake depicts an imperfect contention that refutes her principle reason. Individuals with medical coverage should hope to perceive what is secured and look for more beneficial, more affordable choices to fix the things that are excluded. Despite what â€Å"Rethinking Weight† recommends, overweight people have an equivalent chance to supplant their current way of life with more advantageous propensities. Works Cited Spake, Amanda. â€Å"Rethinking Wight. † Writing and Reading for ACP Composition. Eds. Thomas E. Leahey and Christine R. Farris. Upper Saddle River: Prentice Hall, 2009. 282-88. Print.

How are you doing on your New Years Resolutions

How are you doing on your New Year’s Resolutions Every year I not only post my New Year’s “Ressaylutions” in January, but also report on my progress in August (well, last year I did my mid-year check-in in September). Why do I do this? Because like most humans, my memory is short. It’s so easy to lose track of the promises I made eight months ago. And I don’t want to find myself in January 2016 in the same place I was a year before. Do you remember your 2015 New Year’s goals? Did you write them down? If so, this is a good time to assess your progress and recommit so you can create new, forward-moving goals for 2016! The Essay Expert’s 2015 “Ressaylutions” and Current Status: Increase college essay / personal statement portion of my business to 25% of business. ?This goal continues to elude me. I have been getting more referrals from resume writers for this type of work, following a presentation I gave last year at the National Resume Writers’ Association conference. And I appeared on Channel 3 TV the morning of July 31 for 3 minutes (an eternity for TV news) talking about college essay topics. I look forward to September through November which are the busiest admissions consulting months of the year! Roll out a new “responsive” (mobile-friendly) website.? Made huge progress on this one! TheEssayExpert.com has launched in its new form and is mobile-friendly! I still have work to do to make the site the way I want it, but I feel like I fulfilled on this promise. Implement Infusionsoft.?This has largely happened. My e-lists have been transferred to Infusionsoft and clients now receive automated messages that ensure we will not lose track of them or their projects! The launch had a number of glitches and we’re still working out the kinks, but I definitely came through on this oneâ€"with MAJOR help from my assistant Jeanne and from Jeremy at WhoKnowsAGuy Media! Serve 250 clients.? Total clients this year is 72, largely due to changes in the number of clients coming to me through my e-book. I am looking at my lead generation strategies and will be working furiously on my website’s SEO in order to generate more leads. Publish a print version of How to Write a KILLER LinkedIn Profile.? This was a huge project, and it’s close to done! The book is formatted and I have a proof which I have now reviewed cover to cover. Once my multitude of edits are complete, we will go to print! I expect the book to help out with Ressaylution #4, increasing my client base at universities and in the Amazon market. Implement a robust referral program. This project has been on hold while I focus on website, Infusionsoft, and print book. I might bump it to 2016! In the meantime, however, people who refer paying clients to The Essay Expert can expect a gift from us! Create more internal systems/guidelines. I have made progress in this area, adding and clarifying items in my agreements with my writers and also revamping some of the terms of service for clients. This is an ongoing project and will never end! I am likely not going to fulfill all my Ressaylutions for 2015, but I’m pretty close on most of them! Checking in on my promises helps me see how much I’ve accomplished and where the gaps are. I wonder what I’ll be creating in 5 months for 2016? How are you doing on your New Year’s Resolutions? Can you reinject energy into completing them? Please share!

Hybrid Car Battery Life and Replacement Costs

It is expensive to replace hybrid batteries—it can cost in the neighborhood of $3,000 for a full hybrid battery replacement. But on the other hand, hybrid batteries have proven themselves to be extremely reliable. And as long as they are not abused and the vehicle charging control system operates effectively, they can be—not unrealistically—expected to last for nearly the life of the vehicle. Manufacturers are providing generous battery warranties (generally about 8-10 years and 80,000 to 100,000 miles), but as with most warranted components, they are designed to last well beyond the coverage period. It would not be unreasonable to expect the life of a battery pack to exceed 150,000 miles. Something to keep in mind: as more hybrids take to the roads, reclaimed batteries from out-of-service (wrecked) cars will become more available at steep discounts.

American Holidays - 11778 Words

American Holidays The following are holidays that we celebrate in the United States: New Years Eve and New Years Day New Years Day is the first day of the year, January 1st. it is a celebration of the old year and the new one to come. People make New Years Resolutions each New Years and promise themselves that they will keep this resolution until next year. New Years Eve is a major social event. Clubs everywhere are packed with party-goers who stay out all night and go nuts at midnight. At midnight it is a tradition to make lots of noise. The traditional New Years Ball is dropped every year in Times Square in New York City at 12 o’clock. This event can be seen all over the world on television. Valentine’s Day Saint†¦show more content†¦They walk from door to door collecting candy. The chant â€Å"trick or treat† is heard throughout the neighborhood. There is really no significance for most people in the US associates with Halloween, other than it is fun dress in costumes, go to parties, play spooky music, and collect candy! Veterans Day Veterans Day used to be called Armistice Day. It is a holiday observed every year in the United States to honor all the men and women who served with the U.S. armed forces during the wars. It is observed either on November 11th or on the fourth Monday of October. Americans display an American Flag outside their homes Banks, offices and school are usually closed. Thanksgiving Thanksgiving Day was first celebrated in colonial times in the New England. When the Pilgrims landed their ships at Plymouth Rock in the year 1621, they needed the help of the neighboring Native Americans to learn how to plant crops and grow food. After they had completed their first harvest, the Pilgrims had a feast with the Indians (Native Americans) to celebrate their friendships. This was called â€Å"The First Thanksgiving.† Thanksgiving is still celebrated every year on the fourth Thursday of November, usually with a feast of turkey, stuffing, corn, mashed potatoes and other foods. A favoriteShow MoreRelatedAmerican Holidays1425 Words   |  6 PagesHOLIDAYS AND CUSTOMS American Holidays People in every culture celebrate holidays. Although the word holiday literally means holy day, most American holidays are not religious, but commemorative in nature and origin. Because the nation is blessed with rich ethnic heritage it is possible to trace some of the American holidays to diverse cultural sources and traditions, but all holidays have taken on a distinctively American flavor. 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Political Risk International Business Free Essays

string(31) " cause of such economic risks\." POLITICAL RISK IN INTERNATIONAL BUSINESS The term business normally refers to the act of doing any transactions that ends up in earning or losing money. The act that is ending up in financial implications is called business. This business can be considered as a result of collective commercial transactions of all types involving government, private, corporate, individual or a group of individual, and so on. We will write a custom essay sample on Political Risk International Business or any similar topic only for you Order Now Anyone involve in the business usually undertakes such operations only for the purpose of making profit, and only in the case of government involved business, there will be some other reason than profit making which could be political, economical, etc. International business is recognized and / or defined as the business that is done across two or more country borders. International business involves selling, buying, making investment, transporting goods, logistical activities, etc between two or more countries. The companies that are doing business worldwide are called multinational companies (MNCs). These companies are normally formed and incorporated in one country and then create their operations in various countries, and will have access to all the markets wherever they do trading. These companies are having different strategies and different approaches for different country operations due to many factors such as culture, interest, etc of the people in those countries. To mentions some examples, McDonalds, Sony, Shell, General Motors, Toyota, etc. The very basic purpose of doing business is only to make money, predominantly, although there are businesses which are not mean for money or profit. Hence for the international business also, the basic purpose will be only profit making. However, there are some additional purposes for the international business, since the effort involved in the establishing the international business is more and complicated than just doing a domestic business. Some of the purposes of international business are discussed hereunder. New Opportunities: While the corporations are extending their operations to the international market, the opportunities for them to develop their business and increased sales / revenue are more. Since the international business brings new products and new services to the country, there will be a good opportunity for finding new customers, and making a good volume of sales among the customers. Also, based on the geographical conditions, climatic conditions, available resources, etc there will be more opportunities for the MNCs to develop their business in terms of infrastructure, product lines, etc. Low Cost: This is an advantageous purpose for the MNCs to have their operations in various countries. In countries like China, India, the human resources will be available in large number and hence the cost of labour becomes comparatively cheaper with the countries of origin of those MNCs. Hence the companies start their operations in those countries and reduce their cost of production lesser and lesser. Those products that are produced from there can be transferred to the other country’s operations of the same MNC. Hence over all the company’s cost of production is slashed to a very minimum amount. For example, many Sony opened their operations in China, and most of the Sony products available in any of the country come from the manufacturing units of Sony in China. This way Sony capitalizes the international business concept. Resources: Resources are one of the major assets for any organization. Business while going international, get opportunities to improve the standard of the resources, many times at a cheaper cost. While the business is international, the organization will have access to various types of resources from various countries. This is an added advantage to the company in developing their knowledge, and work force. Hence cross country knowledge is acquired by the organization, and hence the knowledge repository of the organization grows and hence to get more benefit from the resources. Just like the way the international business provides lots of benefits, there are lots of risks associated with the international business, which are discussed hereunder. Strategic Risk: Many of the international companies try to implement many of heir business strategy across all their branches in all the countries; however, due to many changes that exist between the countries wherein the operations are undertaken, many times the strategies will not work. For example, a strategy designed for the summer seasons in one country may not work in another country, since there could be a different season at that time, and vice versa. Hence strategy management is a potential risk in international management. Operation Risk: Internati onal business operations are happening across the globe. The practical situation in one country and the situation in another country will never be the same. Mode of transport, maintenance of machinery, supply and demand of products required for production, logistic and inventory issues, etc will be on a regular basis and will create problem for a smooth production processes. Major cause of this operational risk will be the capital market variances between the countries and assets that are involved in the operational activities. Technological Risk: International business is highly dependent on the technology especially in terms of communication and transaction. There is always a big risk in the security part of the electronic transactions and hence that creates a major risk for the international business. Cost of newer technologies, redundancy of the old technology and the locked cost in such investments, etc are the major risks due to technology. Environmental Risk: While the environment, such as air, pollution, water, etc of the country wherein the operation is happening is affecting the people and creating an environmental issue, which affects the reputation of the corporation functioning there as well. The corporation also socially becomes responsible for such devastation of the environment. Economic Risk: This is anyway not in the hand of the business. If the country in which the business operation of the MNC is happening is not able to control the economic problems, which will eventually impact the MNC as well. Exchange rate, monitory policy, etc are the cause of such economic risks. You read "Political Risk International Business" in category "Essay examples" Financial Risk: Currency rates and inflation rates are major cause of this type of risks. The financial situation of the country becomes instable, and that hits the organization badly. While the government does not have strict rules in areas such as transferring investment funds to other countries, the economic financial conditions become worse. However, the Political risks in the area of international business are large and are highly considerable more than other risks. Since international business is happening in different countries, the business is facing directions and regulations from various political governments. Any changes that are happening in the political situations will have an impact on the way the business is running the country. The leader of the country or the political person in the country will be responsible for such impact of risk; however, the organization will have a lesser say in such situations. The possibility of international business risks is always high. The very moment the business goes abroad, the government to which the business is subjected to will change. Hence irrespective of the amount of impact, there will be surely impact on the business from the political side. The government issues related to the overall country-wide policies, changes in the higher officials such as ministers, or other such positions will directly impact the business. The impacts of the risks are varied from soft to extreme. Terrorism, war, etc are extreme risks, while change of president or prime minister, or different political parties coming into power, etc is moderate risks. However, it is easy to understand and accept that any of this risk will surely be in existence in any given country and hence that will affect the business organization which is doing an international business in that country. The political risks can be classified into micro risks and macro risks. Micro political risks are very common to the country in which it is happening, and will affect the entire company’s existence in the company or something of that magnitude. For example if there is a political instable relationship between two countries, then there will be a risk of closing down the business of the organizations in one country who base location is the other country. On the other hand macro level political risks are something that is affecting all the international business in host country in which the political changes are happening. For example, if there is a political emergency in the county all the international business would come to cease. Such emergency may also work against the foreign direct investment from all the countries, which is again nullifying the international business in the host country. For any risks that are faced in the business, multiple solutions are available. In the context of political risks related to international business, the general strategy the MNCs normally follow is to do a political risk analysis on the country in which the MNC is going to start its operation. If the international business is just about making a foreign investment, before the investment is made a good and detailed risk analysis or research is advisable. There are many independent consultants who do such risk analysis and researches on potential countries. Such reports can be purchased by these MNCs or they can form their own team in making such analysis. MNCs can also adopt some risky strategy which has to be calculative. At times, while investing in a country which is proven for political risk, the MNC can see a better and attractive return from the investment. Hence the strategy needs amendment based on the negotiation with the host government for further compensations and at the same time providing some reasonable benefits for the country resources, such as man power, and other structural facilities. Such MNCs are establishing their operations in those countries and help the country to develop their economy and increase the standard of living there. Another strategy normally tried by the MNCs are involving into the business in the risk prone countries and also make considerable investments in the political risk insurances. By doing so, the possible losses the MNC may face can be compensated by the insurance, if happen so. However, such investments in the international business are made only when the corporation foresees a good and attractive return from those host countries. Interestingly investment in political insurance may also amount to risks, since the insurance claim may not be obtained as it is promised to be. Based on the available option, the recommendation could be to do a good and through research on the political situation of the country wherein the MNC is going to commence its business. While the MNC is hoping to have a wide range of investments in many countries, it is advisable to have a separate department in the company which is looking after such risks, either doing their independent research or having assistance from the well know consultants in the market. Business earns profit in the form of money; however, it also exposed to many risks. There are risks related to the internal environmental factors, as well as external environmental factors. External factors are not in the control of the business organization, and hence handling becomes difficult. When the business goes abroad and become an international business, then the exposure to various external environmental factors increases, while the possible benefits also increases. Political risk is one of the major risks associated with international business, which is the main concern of the MNCs going abroad. MNCs are forced to face both micro and macro political risks. However, since the political risks are a well known factor, there are many research conducted across the world about most of the countries. Hence the MNCs are also having sufficient information to take a decision on the available options and plan their strategy towards opening up their business abroad. In many countries, international business works and give and take policy, where the MNC benefited financially while the hose country is benefited in terms of economy, life standards, and knowledge sharing. References * Alan M. Rugman, Simon Collinson. 2008. International Business. London: Prentice Hall * Oded Shenkar, Yadong Luo. 2008. International Business. Chicago: Sage Publicaitons * Daniels, J. , Radebaugh, L. , Sullivan, D. (2007). International Business: environment and operations, 11th edition. Prentice Hall. * Joshi, Rakesh Mohan, (2009) International Business, Oxford University Press * Travis, T. (2007). Doing Business Anywhere: The Essential Guide to Going Global. Hoboken: John WileySons. How to cite Political Risk International Business, Essay examples

THE BASICS PARTS Essay Example For Students

THE BASICS PARTS Essay An organization it is composed by an operating core and an administrative component made up by managers (strategic apex and middle line) and analysts (deconstructed? and staff), partially responsible for their work. The strategic apex is composed by people having overall responsibility for the organization; they have the widest perspective of the organization. In Nikkei, the Board, Vichy is elected by shareholders, is the ultimate decision- making body of the Company, excluding to those issues reserved to the shareholders. The Board is also in charged for reviewing and establishing procedures in relation to ensure that the Company management and employees Who work in a legal and ethically responsible way. Recently, the Board has had be,even 10 to 14 directors, this size allows diversity of experience Without slowing individual accountability and effective discussion. In relation to the operating core which is composed by the people doing the key work, in Nikkei there are more than 800,000 employees in 46 countries all around the world. This workforce is at the same time distributed in the approximately 00 contract factories where the 3 brands principal products (footwear, apparel and equipment) are fabricated. The middle line is composed by the people who occupy the managerial post, in the firm we are analyzing this is formed by the USBI (Sustainable Business and Innovation), this team is made up of about 130 people who work closely with dedicated sustainability specialists who are integrated into other parts of the organization, such as retail, logistics and information technology. Its focal point is to permit IN EKE, Inc. o prosper in an efficient economy they do this through a atria structure, with defined priorities for each team. The USB function reports to the vice president of Sustainable Business and Innovation, who reports directly to the NIKKEI, Inc. CEO and to the Corporate Responsibility Committee of the Board Of Directors. The deconstructive.

The Polio Vaccine free essay sample

The Polio epidemic happened, each of the 48 states at the time had rampant cases of Polio. The un-curable disease had taken over America. Poliomyelitis is an infectious viral disease that attacks the nerve cells and sometimes the central nervous system; it is caused by the destruction of nerve cells in the spinal cord. Polio often causes muscle wasting, paralysis, and even death. 1 In surveys of what Americans feared most, Polio came in second to the Atomic Bomb. Children were the main target of Polio and until Dr. Jonas Salk’s Polio Vaccine that became available in 1952, there was no cure for the disease Polio was often called infantile paralysis because the majority of the infected were elementary school children. â€Å"It must have been profoundly difficult in that first quarter-century of polio. How helpless parents must have felt to know that there was this killer that could come each summer, and that nothing they could do could safeguard their children. We will write a custom essay sample on The Polio Vaccine or any similar topic specifically for you Do Not WasteYour Time HIRE WRITER Only 13.90 / page Every sniffle, every cold, every muscle cramp, every temper tantrum that a child exhibited in the long, hot days of summer and early autumn were potential symptoms of polio. How long could a family show good spirits in front of a child confined to an iron lung, or later, during the two or more years a child might spend in rehabilitative therapy. † This quote is really significant in the fear that polio had over people. Every parent had no way to defend their kids from the disease. Sending children to school was extremely difficult because many schools were shut down from massive outbreaks of polio. Not only schools but also every other public place; restaurants, grocery store, movie theaters, etc. No one would leave the comfort of their own home, and even then they weren’t safe from Polio, they were just safer there than anywhere else. 2 A very notable case of Polio was Franklin D. Roosevelt. Even though it was children who were especially vulnerable, Adults could catch the disease as well. In 1921, FDR had contracted Polio and he became paralyzed from the waist down for the rest of his life. Later on in 1937, Roosevelt advocated for The National Foundation for Infantile Paralysis. Roosevelt’s foundation established The March of Dimes that helped to fund money to find a cure and resist the disease. March of Dimes was really successful in raising money to help fight against the disease. 3 Polio quickly moved from city to city taking no pity on any of its victims. The disease got stronger among the nation. It became surreal-like as demonstrated by this quote by Richard Aldrich M. D. , â€Å"The first summer when I was home in Minnesota was that gosh-awful polio epidemic they had there. We admitted 464 proven cases of polio just at the University Hospital, which is unbelievable. And this was a very severe paralytic form. Maybe two or three hours after a lot of these kids would come in with a stiff neck or a fever, theyd be dead. It was unbelievable. It was just loads of people that came in, sometimes with only a fever but usually a headache and a little stiffness in the neck. And just absolutely terrified. At the height of the epidemic, the people in Minneapolis were so frightened that there was nobody in the restaurants. There was practically no traffic, the stores were empty. It just was considered a feat of bravado almost to go out and mingle in public. A lot of people just took up and moved away, went to another city. †4 What really frustrated people is that there really wasn’t anything they could do. As previously stated, Hospitals were pass there limit of people that could be emitted into the hospital. They couldn’t just turn them away, so they took in everyone who came through the door. This was problematic because the Doctor-Patient ratio was very unbalanced. Not everyone was able to get attention right away and within a couple hours, the disease completely overtook them and they were dead. Every year more and more cases of paralytic polio were occurring. In 1933 there were only 5000 cases and ten years later in 1943, the number of cases was more than double with 12,000 cases. In 1950 there was 33,000 cases. Polio seemed to be moving north to east. Polio shifted from the eastern side of North America and began making its way across the entire United States. Then in 1952 the Polio Epidemic occurred with 59,000 proven cases of paralytic polio. 5 By then, polio epidemics were second only to the atomic bomb in surveys of what Americans feared most. Bomb and virus alike were terrible agents of destruction that might arrive at any moment to devastate a family, a community, or an entire nation. The disease seemed like an omnipresent threat, and its cure became a national responsibility. Epidemics struck other countries, but never as heavily as here. America was the center of polio, and the place where people knew they must work first, and fastest, to end it. They gave their time and money to help the growing swell of victims and to find a way to stem the rising tide of injury. When the call came, they even volunteered their children, millions of them, to test a new vaccine. The fear that had once driven Americans apart was now the force that pulled them together. This quote defines the 1952 Polio Epidemic and the strong fear that Americans had. The worst hit areas to date were Texas, Iowa, Ohio, Nebraska, and the worst were in New York, Pennsylvania, and Massachusets. 7 The Most significant figure during this time was Dr. Jonas Salk. Jonas Salk was born October 28, 1914 in New York City. He was the eldest son of Russian immigrant parents. His parents, like many immigrants of the time, were uneducated, but determined that their sons should have formal educations and achieve American success. Salk attended Townsend Harris High School, one of the finest public high schools in New York. He became the first member of his family to go to college. As a medical student and later a researcher at the University of Michigan, Salk studied viruses, such as influenza, and ways to vaccinate against them. In 1947, Salk became head of the Virus Research Lab at the University of Pittsburgh. He began investigating the polio virus. 8 On July 2, 1952, Salk tried a refined vaccine on children whod already had polio and recovered. After the vaccination, their antibodies increased. He then tried it on volunteers who had not had polio, including himself, his wife, and their children. The volunteers all produced antibodies, and none received polio. One of the newest and most hopeful weapons in the fight against polio is a blood fraction called gamma globulin. It is a rich storehouse of the disease fighting antibodies. Also, injections of this would reduce measles in children. There has been evidence that gamma globulin could also destroy polio before it reaches the nervous system, disrupting its paralyzing effects. 6 In 1953, Salk reported his findings in The Journal of the American Medical Association. A nationwide testing of the vaccine was launched in April 1954 with the mass inoculation of school children. Before the polio vaccine, 13,000 to 20,000 people were paralyzed by polio. About 1,000 people died from it each year in the United States alone. The results of Salk’s vaccine were a 60 -70 percent prevention of Polio. The public was ecstatic with Salk’s marvelous creation. It was the gift that the American Public waited for years and years to get. Because of the Vaccine, Many universities awarded Salk honorary degrees, he was given a Congressional Gold Medal, and France made him a member of the Legion of Honor. â€Å"Fifty years ago, on April 12, 1955, the world heard one of the most eagerly anticipated announcements in medical history: Dr. Jonas Salks polio vaccine worked. The vaccine turned a disease that once horrified America into a memory. † There was one incident that took place with Salk’s vaccine that put American’s hope in the dumpsters. About 200 cases of the disease were caused by Salk’s vaccine and 11 people died. All testing was halted because the American people didn’t feel safe anymore. Investigators found that the disease-causing vaccine all came from one poorly made batch at one drug-company. This resulted in higher production standards that were adopted and vaccinations resumed. By August of 1955 four million vaccinations were given and the impact was dramatic. In 1955, there were 28,985 cases of polio. In 1956, there were 14,647 cases. In 1957, there were 5,894 cases. The number of cases kept declining with the number of vaccinations given, and by 1959, 90 other countries used Salks vaccine. Although the last known case of polio in the Western hemisphere was reported in 1991 and there has not been a case in Western Asia since 1997, polio is still rampant in South Asia, West Africa, and Central Africa. Approximately 5,000 cases are diagnosed each year. Although that represents a 90% decrease in just the last ten years.

The Hindenburg Disaster

The Hindenburg Disaster The Hindenburg marked the beginning and the end of transatlantic airships. This 804-foot dirigible filled with over 7 million cubic feet of hydrogen was a crowning achievement of its age. Never before or since has a larger aircraft taken flight. However, the explosion of the Hindenburg changed the landscape for lighter-than-air crafts forever. The Hindenburg is Engulfed in Flames   On May 6, 1937, the Hindenburg carrying 61 crew and 36 passengers arrived hours behind schedule at Lakehurst Naval Air Station in New Jersey. Inclement weather forced this delay. Buffeted by winds and rain, the craft hovered in the area by most accounts for about an hour. The presence of lightning storms were recorded. The landing of the Hindenburg with these types of conditions was against regulations. However, by the time the Hindenburg began its landing, the weather was clearing up. The Hindenburg seems to have been traveling at a fairly fast speed for its landing and for some reason, the Captain attempted a high landing, being winched to the ground from a height of about 200 feet. Soon after the mooring lines were set, some eyewitnesses reported a blue glow on top of the Hindenburg followed by a flame towards the tail section of the craft. The flame was almost simultaneously succeeded by an explosion that quickly engulfed the craft causing it to crash into the ground killing 36 p eople. Spectators watched in horror as passengers and crew were burned alive or jumped to their deaths. As Herb Morrison announced for the radio, Its burst into flames.... Get out of the way, please, oh my, this is terrible...Oh, the humanity and all the passengers. The day after this horrible tragedy occurred, the papers started speculating about the cause of the disaster. Up until this incident, the German Zeppelins had been safe and highly successful. Many theories were talked about and investigated: sabotage, mechanical failure, hydrogen explosions, lightning or even the possibility that it was shot from the sky. On the next page, discover the major theories of what happened on this fateful day in May.   The Commerce Department and the Navy led the investigations into the Hindenburg disaster. However, the Federal Bureau of Investigation also looked into the matter even though it technically had no jurisdiction. President FDR had asked all governmental agencies to cooperate in the investigation. The FBI files released about the incident through the Freedom of Information Act are available online. You must download Adobe Acrobat to read the files. Theories of Sabotage The theories of sabotage began to surface immediately. People believed that maybe the Hindenburg had been sabotaged to harm Hitlers Nazi regime. The sabotage theories centered on a bomb of some sort being placed aboard the Hindenburg and later detonated or some other sort of sabotage performed by someone on board. Commander Rosendahl of the Department of Commerce believed that sabotage was the culprit. (See p. 98 of Part I of the FBI documents.) According to a Memorandum to the Director of the FBI dated May 11, 1937, when Captain Anton Wittemann, the third in command of the Hindenburg, was questioned after the tragedy he said that Captain Max Pruss, Captain Ernst Lehmann and he had been warned of a possible incident. He was told by the FBI Special Agents not to speak of the warning to anyone. (See p. 80 of Part I of the FBI documents.) There is no indication that his claims were ever looked into, and no other evidence arose to support the idea of sabotage. Possible Mechanical Failure Some people pointed to a possible mechanical failure. Many of the ground crew later interviewed in the investigation indicated that the Hindenburg was coming in too fast. They believed that the airship was thrown into a full reverse to slow the craft. (See p. 43 of Part I of the FBI documents.) The speculation arose that this may have caused a mechanical failure which sparked a fire causing the hydrogen to explode. This theory is supported by the fire at the tail section of the craft but not much else. The Zeppelins had a great track record, and there is little other evidence to support this speculation. Was It Shot From the Sky?   The next theory, and probably the most outlandish, involves the dirigible being shot from the sky. The investigation focused on reports of a pair of tracks found near the back of the airfield in a restricted area. However, there were numerous people on hand to watch the amazing event of the Hindenburg landing so these footprints could have been made by anyone. In fact, the Navy had caught a couple of boys who had sneaked into the airfield from that direction. There were also reports of farmers shooting at other dirigibles because they passed over their farms. Some people even claimed that joy seekers shot down the Hindenburg. (See p. 80 of Part I of the FBI documents.) Most people dismissed these accusations as nonsense, and the formal investigation never substantiated the theory that the Hindenburg was shot from the sky. Hydrogen and the Hindenburg Explosion The theory that gained the most popularity and became the most widely accepted involved the hydrogen on the Hindenburg. Hydrogen is a highly flammable gas, and most people believed that something caused the hydrogen to spark, thus causing the explosion and fire. At the beginning of the investigation, the idea arose that the drop lines carried static electricity back up to the airship which caused the explosion. However, the chief of the ground crew denied this claim by the fact that the mooring lines were not conductors of static electricity. (See p. 39 of Part I of the FBI documents.) More credible was the idea that the blue arc seen at the tail of the airship just before it burst into flames was lightning and caused the detonation of the hydrogen. This theory was substantiated by the presence of the lightning storms reported in the area. The hydrogen explosion theory became accepted as the reason for the explosion and led to the end of commercial lighter-than-air flight and the stalling of hydrogen as a reliable fuel. Many people pointed to the flammability of the hydrogen and questioned why helium was not used in the craft. It is interesting to note that a similar event happened to a helium dirigible the year before. So what really caused the end of the Hindenburg? Addison Bain, a retired NASA engineer and hydrogen expert, believes he has the correct answer. He states that while hydrogen might have contributed to the fire, it was not the culprit. To prove this, he points to several pieces of evidence: The Hindenburg did not explode but burned in numerous directions.The airship remained afloat for several seconds after the fire began. Some people report it did not crash for 32 seconds.Fabric pieces fell to the ground on fire.The fire was not characteristic of a hydrogen fire. In fact, hydrogen makes no visible flames.There were no reported leaks; the hydrogen was laced with garlic to give off an odor for easy detection. After years of exhaustive traveling and research, Bain uncovered what he believes is the answer to the Hindenburg mystery. His research shows that the Hindenburgs skin was covered with the extremely flammable cellulose nitrate or cellulose acetate, added to help with rigidity and aerodynamics. The skin was also coated with flecks of aluminum, a component of rocket fuel, to reflect sunlight and keep the hydrogen from heating and expanding. It had the further benefit of combating wear and tear from the elements. Bain claims these substances, although necessary at the time of construction, directly led to the disaster of the Hindenburg. The substances caught fire from an electric spark that caused the skin to burn. At this point, the hydrogen became the fuel to the already existing fire. Therefore, the real culprit was the skin of the dirigible. The ironic point to this story is that the German Zeppelin makers knew this back in 1937. A handwritten letter in the Zeppelin Archive states, The actual cause of the fire was the extreme easy flammability of the covering material brought about by discharges of an electrostatic nature.

Saving Our Public Schools Assignment Example | Topics and Well Written Essays - 500 words

Saving Our Public Schools - Assignment Example She believes that social reform is the key to solving most of the problems in the public school system, as they are a direct result of poverty and racial discrimination. Only through initiating policies that are combat poverty and segregation, could the public school system improve. She is also against the use of grades to assess teachers, proposing that their peers and principals should do the assessment. Testing of the students should also be for assessing their strengths and weaknesses and not for ranking purposes. She also recognizes the need to standardize resource allocation to be more equitable across the board as a key issue towards the improvement of public schooling. The privatization of public schooling, in Ms Ravitch’s opinion, will lead to a dual system, where those who can afford to pay for private schooling get into better schools and the poor in the society will be in mediocre schools. IN the interests of democracy, this should not happen. Ms Ravitch mainly uses a cause-and –effect organizational pattern in her essay. This features prominently throughout this text. When she links the move to privatize the public school system to the creation of a dual education system, which segregates the rich, and the poor, which further leads towards affecting the very fabric of the American democratic system, which is equality. This is one of the many examples of a multi-tier cause and effect organizational structures present in the essay. One of the uses of prepositional phrases, is evidenced in the sentence ‘They are being used by those who have an implacable hostility towards the public sector’, in this sentence the preposition is ‘towards’ which uses the modifiers ‘implacable hostility’ to show, effectively, the opinions of the move for privatizations towards the public.. Ms. Ravitch switches voice effectively between the first person and

How the Evian conference allowed hitler to massacre the jews Research Paper

How the Evian conference allowed hitler to massacre the jews - Research Paper Example The urgency of the refugee problem was graphically portrayed in the case of four hundred refugees from Austria who drifted for several weeks on a barge in the Danube: â€Å"Although they were within sight of three frontiers, they could go back neither to the country from which they were driven out nor land at any foreign port. (They were) people without a country, human flotsam adrift on an international stream.†1It was evident that an unprecedented, immense humanitarian crisis faced the world. U.S. President F.D. Roosevelt called for an international conference to address the plight of refugees fleeing Nazi persecution. The resulting Intergovernmental Conference on Political Refugees was held in Evian-les-Bains in Southern France, opening on July 6, 1938. The Evian Conference’s preliminaries, the refusal of the participating nations to ease visa restrictions and the results are proof of the multi-national anti-Semitism which provided Hitler with complete impunity for a vision of a world free of the â€Å"Jewish Vermin.† The Conference’s preliminaries displayed the underlying anti-Semitism in world society. America suggested Switzerland as the venue but was turned down by the Swiss who feared German displeasure. The official participants of the Conference were Argentina, Australia, Belgium, Bolivia, Brazil, United Kingdom, Chile, Canada, Colombia, Costa Rica, Cuba, Denmark, Dominican Republic, Ecuador, France, Guatemala, Haiti, Ireland, Honduras, Mexico, the Netherlands, New Zealand, Nicaragua, Norway, Panama, Paraguay, Peru, Sweden, Switzerland, the USA, Uruguay and Venezuela. Poland and Romania attend unofficially, while South Africa was an observer.2 These nations agreed to participate only on the understanding that they would not be asked to increase their quota of refugees – they would only be called upon to offer solutions to the refugee problem. In the first instance, Great Britain and France collaborated to ensure that the mandate of the new body extended only to refugees from Germany and Austria, excluding any refugees from Rumania, Italy, Poland, Hungary and Spain.3 Again, at the very outset, Britain made it clear that any notion of large-scale settlement in Palestine would not be acceptable. This stand reflected the British policy of appeasement of the Arabs, in order to prevent uprisings against Jewish immigration. In fact, the British representative, Lord Winterton, deliberately avoided all references to Palestine in his opening address. Earlier, he had assured the British foreign office that â€Å"he and the British delegates would bear in mind the need to avoid provoking the Reich government.†4Australia held that Jews could not be culturally assimilated into their county and attended only to avoid international criticism. Canada attended the Conference with great reluctance, fearing being pressurized into admitting Jews. Canada’s anti-Semitic sentiment was amply demonstrated in the reply of a senior official to the question of how many Jews would be allowed into the country after WWII: â€Å"None would be too many.†5Switzerland sent its Police Chief, Dr. H. Rothmund, as its delegate, clearly conveying its intention of doing nothing for the Jews. In the words of a renowned journalist, â€Å"I doubt if much will be done.   The British, French and Americans seem too anxious not to do anything to offend Hitler.   It's an absurd situation.   They want to appease the man who was responsible for their problem.†

The Clostridium Difficile Infections Biology Essay

The Clostridium Difficile Infections Biology Essay The organism known as Clostridium difficile is a gram-positive bacillus bacteria which has the ability to form spores, as well as produce a number of toxins. The toxins produced by these bacteria are presently considered to be one of the forefront causes of antibiotic-associated diarrhea (AAD).In addition, infection of this bacteria and the subsequent damage which is instigated by the organisms invasive toxins can lead to several serious gastrointestinal conditions including pseudomembranous colitis (PHAC, 2011). According to the Centre for Disease Control (2012), Clostridium difficile is proposed to be the causative of between 15 and 25% of all AAD cases in Canada. Due to its specific pathogenesis, this organism is easily spread throughout a given population, with increased risk attributed to various factors which contribute to a higher level of exposure. Given this, there are often outbreaks experienced within healthcare facilities, as well as within community settings. In addition , the organism has well known epidemiology, with certain patient attributes, exposure to high-risk environment, medical conditions and various medications contributing to an increased risk of both the asymptomatic Clostridium difficile colonization (CDC) or the symptomatic and sometimes deadly Clostridium difficile infection (CDI). Infection by Clostridium difficile can also lead to various chronic and adverse effects after the initial recovery such as recurrent infections, surgeries being required to rectify the damage which has been caused by the toxins effect on the patients bowels (3). As a result of this persistent organisms observable damage and tendency to spread, any sort of CDI outbreak has definite implications on the healthcare system, both from a fiscal as well as a resource and time-allocation standpoint. CLOSTRIDIUM DIFFICILE Pathogenesis Clostridium difficile (C. difficile) are gram positive, spore-forming bacillus bacteria which, as an opportunistic pathogen, inhabit the anaerobic conditions of the human gastrointestinal system. It is also the leading cause of health care-associated diarrhea (Bourgault, 2011). As reported in the Canadian Medical Association Journal (CMAJ), Clostridium difficile can be isolated from the stool of 3% of healthy adults and up to 80% of healthy newborns and infants (Kujiper, 2008). The reason that it can be so detrimental in the case of an infection is that along with a number of other virulence factors, it produces two toxins, known as toxin A and toxin B (CDC, 2012). In patients who display either a colonization or infection, the normal gastrointestinal flora is depleted due to a number of extenuating risk factors. Provided with these circumstances, the C. difficile bacteria are able to flourish and overrun the patients bowel. The major agressins (Borriello, 1998) of C. difficile are u ndoubtedly toxins A and B, however, there are a number of other virulence factors possessed by the organism which contribute to its potential to cause harm. According to Borriello, C.difficile is influenced by its ability to adhere the intestinal wall, which may be caused by the organisms intrinsic slight positive net charge. This attracts to the negatively charged host cells [and] may contribute to gut colonization (Borriello, 1998). Both toxins A and B are cytotoxic to a very large number of different cell types, both cause increased vascular permeability, and both cause haemorrhage (Borriello, 1998). In addition, toxin A appears to cause fluid accumulation, whereas toxin B does not (Borriello, 1998). Clinical Features Immediate clinical symptoms of C. difficile can include fever, loss of appetite, nausea, abdominal pain and tenderness (PHAC, 2011) as well as watery diarrhea. The diarrhea is a by-product of the toxins produced by the multiplying bacteria as they invade the mucosa of the intestines. This causes profuse inflammatory diarrhea secondary to destruction of the lining of the colon (4). In more severe cases, it can cause pseudomembranous colitis, bowel perforation, sepsis, and even death (PHAC, 2011). Diagnostic Methods There are currently several reliable, widely-used laboratory tests which are used in the diagnosis of C. difficile colonization and infection. Microbiological stool culture is the most sensitive test available (CDC, 2012) and is considered the confirmatory test, but it also carries the highest incidence of false-positives. This occurs when the patient is infected with a non-toxigenic strain of C. difficile. PCR assays have been developed for the gene which encodes for toxin B. In addition, antigen detection by either latex agglutination or immunochromographic assays (CDC, 2012) provides a fast way to detect the presence of Clostridium difficile. Again, it is non-specific for toxigenicity. Toxin testing tests for specificity to toxin B, while enzyme immunoassays can detect either toxin (CDC, 2012). As studied by Kinson in 2009, additional testing for various markers is also being investigated as a means of detecting infections. Examples of this include fecal lactoferrin, a marker for intestinal inflammation (Kinson, 2009) as well as glutamate dehydrogenase (GDH), which is C. difficile-specific [à ¢Ã¢â€š ¬Ã‚ ¦] however GDH positivity is independent of toxigenicity in strains of C. difficile (Kinson, 2009). Although its presence does confirm Clostridium difficile is present in the patient, it does not confirm that the strain present in this patient is toxigenic. Therapeutics According to the Public Health Agency of Canada, mild cases of CDI can resolve with only supportive treatment such as intravenous fluids to combat dehydration (PHAC, 2011). Additionally, the Centre for Disease Control states that up to 20% of cases will resolve within two to three days of discontinuing the antibiotic to which the patient was previously exposed (CDC, 2012). In more severe cases, the infection can usually be treated with an appropriate course (about 10 days) of antibiotics, including metronidazole, vancomycin (administered orally), or recently approved fidaxomicin (Aylin, 2011). If the bacteria have severely damaged sections of the bowel, it may have to be removed surgically as well (Louie, 2004). EPIDEMIOLOGY Risk Factors for Infection The incidence of infection by Clostridium difficile is affected by a number of risk factors, which is depicted in Figure 1 (Owens, 2008). Being hospitalized greatly increases the chances of becoming infected with C. difficile. These bacteria are shed in the feces, and are usually transmitted between patients either by healthcare workers, or by surfaces or equipment not being fully sanitized between patients (Louie, 2004). However, there has been an increasing trend of community-acquired infections as well. In a study performed at Harvard Medical School, it was found that community-acquired Clostridium difficile infection may account for more than a third of Clostridium difficile-associated diarrhea overall (Leffler, 2012). In addition, the use of medications such as antibiotics, particularly fluoroquinolones (Bourgault, 2011), as well as proton pump inhibitors (used to supress production of gastric acid in gastrointestinal conditions) have been shown to increase the risk of a Clostri dium difficile infection. In a study by Haider et al, it was shown that while the use of proton pump inhibitors appears to lead to an elevated risk of developing severe CDI (Haider, 2012), another widely used type of gastric acid suppressant medication known as histamine 2 receptor antagonist (H2RA) actually appears to decrease the risk of an infection (Haider, 2012). Gastrointestinal surgery is also a known risk factor for severe infection with Clostridium difficile (Louie, 2004). According to Public Health Ontario, infections are more likely to be considered severe in an elderly or immunocompromised patient (OAHPP, 2011). However, it has been shown that the presence of multiple medical conditions, or co-morbidity, is actually a better predictor then age as to the outcome of the infection. Severe CDI occurs more frequently with advancing age. However, age, per se, has no effect on mortality (Dharmarajan, 2000). IMPLICATIONS IN PUBLIC HEALTH Resource Allocation It has been shown that both the financial implications, as well as the allocation of resources within the health care system produced by Clostridium difficile-associated disease (CDAD) are quite significant. Public Health Ontario stated at the time of their study in 2010, that the cost of CDI readmissions alone is estimated to be a minimum of CAD $128,200 per year per hospital (OAHPP, 2011). A more extensive look in to the associative costs was completed in 2008 at Washington Universitys School of Medicine. Dubberke studied a population of CDAD patients and proposed that a cost of $2454 was attributed to each case of CDAD, with that cost increasing to $5042 per patient if their stay exceeded 180 days of hospitalization (Dubberke, 2008). According to the study conducted in by Dr. Forster et al (2011), an infection with C. difficile extends the patients hospital stay from an average of 8 days to an average of 34 days (Forster, 2011). This not only increases the burden on health care wo rkers, but also utilizes time and supplies which are quite preventable. CONCLUSION

Simple Linear Regression

Simple linear regression is the statistic method used to make summary of and provide the association between variables that are continues and quantitative ,basically it deals with two measures that describes how strong the linear relationship we can compute in data .Simple linear regression consist of one variable known as the predictor variable and the other variable denote y known as response variable . It is expected that when we talk of simple linear regression to touch on deterministic relationship and statistical relationship, the concept of least mean square .the interpretation of the b0 and b1 that they are used to interpret the estimate regression . There is also what is known as the population regression line and the estimate regression line . This linearity is measured using the correlation coefficient (r), that can be -1,0,1.The strength of the association is determined from the value of r .( https://onlinecourses.science.psu.edu/stat501/node/250). History of simple linear regression Karl Pearson established a demanding treatment of Applied statistical measure known as Pearson Product Moment Correlation . This come from the thought of Sir Francis Galton ,who had the idea of the modern notions of correlation and regression ,Sir Galton contributed in science of Biology ,psychology and Applied statistics . It was seen that Sir Galton is fascinated with genetics and heredity provided the initial inspiration that led to regression and Pearson Product Moment Correlation . The thought that encouraged the advance of the Pearson Product Moment Correlation began with vexing problem of heredity to understand how closely features of generation of living things exhibited in the next generation. Sir Galton took the approach of using the sweet pea to check the characteristic similarities. ( Bravais, A. (1846). The use of sweet pea was motivated by the fact that it is self- fertilize ,daughter plants shows differences in genetics from mother with-out the use of the second parent that will lead to statistical problem of assessing the genetic combination for both parents .The first insight came about regression came from two dimensional diagram plotting the size independent being the mother peas and the dependent being the daughter peas. He used this representation of data to show what statisticians call it regression today ,from his plot he realised that the median weight of daughter seeds from a particular size of mother seed approximately described a straight line with positive slope less than 1. â€Å"Thus he naturally reached a straight regression line ,and the constant variability for all arrays of character for a given character of second .It was ,perhaps best for the progress of the correlational calculus that this simple special case should promulgated first .It so simply grabbed by the beginner (Pearson 1930,p.5). Then it was later generalised to more complex way that is called the multiple regression. Galton, F. (1894),Importance of linear regressionStatistics usually uses the term linear regression in interpretation of data association of a particular survey, research and experiment .The linear relationship is used in modelling .The modelling of one explanatory variable x and response variable y will require the use of simple linear regression approach . The simple linear regression is said to be broadly useful in methodology and the practical application. This method on simple linear regression model is not used in statistics only but it is applied in many biological, social science and environmental research. The simple linear regression is worth importance because it gives indication of what is to be expected, mostly in monitoring and amendable purposes involved on some disciplines(April 20, 2011 , plaza ,). Description of linear regression The simple linear regression model is described by Y=(?0 + ?1 +E), this is the mathematical way of showing the simple linear regression with labelled x and y .This equation gives us a clear idea on how x is associated to y, there is also an error term shown by E. The term E is used to justification for inconsistency in y, that we can be able to detect it by the use of linear regression to give us the amount of association of the two variables x and y . Then we have the parameters that are use to represent the population (?0 + ?1x) .We then have the model given by E(y)= (?0 + ?1x), the ?0 being the intercept and ?1 being the slope of y ,the mean of y at the x values is E(y) . The hypothesis is assumed is we assume that there is a linear association between the two variables ,that being our H0 and H1 we assume that there is no linear relationship between H0 and H1. Background of simple linear regression Galton used descriptive statistics in order for him to be able to generalise his work of different heredity problems . The needed opportunity to conclude the process of analysing these data, he realised that if the degree of association between variables was held constant,then the slope of the regression line could be described if variability of the two measure were known . Galton assumed he estimated a single heredity constant that was generalised to multiple inherited characteristics . He was wondering why, if such a constant existed ,the observed slopes in the plot of parent child varied too much over these characteristics .He realise variation in variability amongst the generations, he attained at the idea that the variation in regression slope he obtained were solely due to variation in variability between the various set of measurements . In resent terms ,the principal this principal can be illustrated by assuming a constant correlation coefficient but varying the standard deviations of the two variables involved . On his plot he found out that the correlation in each data set. He then observe three data sets ,on data set one he realised that the standard deviation of Y is the same as that of X , on data set two standard deviation of Y is less than that of X ,third data set standard deviation of Y is great than that of X . The correlation remain constant for three sets of data even though the slope of the line changes as an outcome of the differences in variability between the two variables.The rudimentary regression equation y=r(Sy / Sx)x to describe the relationship between his paired variables .He the used an estimated value of r , because he had no knowledge of calculating it The (Sy /Sx) expression was a correction factor that helped to adjust the slope according to the variability of measures . He also realised that the ratio of variability of the two measures was the key factor in determining the slope of the regression line .The uses of simple linear regression Simple linear regression is a typical Statistical Data Analysis strategy. It is utilized to decide the degree to which there is a direct connection between a needy variable and at least one free factors. (e.g. 0-100 test score) and the free variable(s) can be estimated on either an all out (e.g. male versus female) or consistent estimation scale. There are a few different suppositions that the information must full fill keeping in mind the end goal to meet all requirements for simple linear regression. Basic linear regression is like connection in that the reason for existing is to scale to what degree there is a direct connection between two factors. The real contrast between the two is that relationship sees no difference amongst the two variables . Specifically, the reason for simple linear regression â€Å"anticipate† the estimation of the reliant variable in light of the estimations of at least one free factors. https://www.statisticallysignificantconsulting.com/RegressionAnalysis.htm ReferenceBravais, A. (1846), â€Å"Analyse Mathematique sur les Probabilites des Erreurs de Situation d'un Point,† Memoires par divers Savans, 9, 255-332.Duke, J. D. (1978),â€Å"Tables to Help Students Grasp Size Differences in Simple Correlations,† Teaching of Psychology, 5, 219-221.FitzPatrick, P. J. (1960),â€Å"Leading British Statisticians of the Nineteenth Century,† Journal of the American Statistical Association, 55, 38-70.Galton, F. (1894),Natural Inheritance (5th ed.), New York: Macmillan and Company.https://onlinecourses.science.psu.edu/stat501/node/250.https://www.statisticallysignificantconsulting.com/RegressionAnalysis.htmGhiselli, E. E. (1981),Measurement Theory for the Behavioral Sciences, San Francisco: W. H. Freeman.Goldstein, M. D., and Strube, M. J. (1995), â€Å"Understanding Correlations: Two Computer Exercises,† Teaching of Psychology, 22, 205-206.Karylowski, J. (1985),â€Å"Regression Toward the Mean Effect: No Statistical Backgrou nd Required,† Teaching of Psychology, 12, 229-230.Paul, D. B. (1995),Controlling Human Heredity, 1865 to the Present, Atlantic Highlands, N.J.: Humanities Press.Pearson, E. S. (1938),Mathematical Statistics and Data Analysis (2nd ed.), Belmont, CA: Duxbury.Pearson, K. (1896),â€Å"Mathematical Contributions to the Theory of Evolution. III. Regression, Heredity and Panmixia,† Philosophical Transactions of the Royal Society of London, 187, 253-318.Pearson, K. (1922),Francis Galton: A Centenary Appreciation, Cambridge University Press.Pearson, K. (1930),The Life, Letters and Labors of Francis Galton, Cambridge University Press.Williams, R. H. (1975), â€Å"A New Method for Teaching Multiple Regression to Behavioral Science Students,† Teaching of Psychology, 2, 76-78. Simple Linear Regression Stat 326 – Introduction to Business Statistics II Review – Stat 226 Spring 2013 Stat 326 (Spring 2013) Introduction to Business Statistics II 1 / 47 Stat 326 (Spring 2013) Introduction to Business Statistics II 2 / 47 Review: Inference for Regression Example: Real Estate, Tampa Palms, Florida Goal: Predict sale price of residential property based on the appraised value of the property Data: sale price and total appraised value of 92 residential properties in Tampa Palms, Florida 1000 900 Sale Price (in Thousands of Dollars) 800 700 600 500 400 300 200 100 0 0 100 200 300 400 500 600 700 800 900 1000 Appraised Value (in Thousands of Dollars)Review: Inference for Regression We can describe the relationship between x and y using a simple linear regression model of the form  µy = ? 0 + ? 1 x 1000 900 Sale Price (in Thousands of Dollars) 800 700 600 500 400 300 200 100 0 0 100 200 300 400 500 600 700 800 900 1000 Appraised Value (in Thousands of Dollars) response variable y : sale price explanatory variable x: appraised value relationship between x and y : linear strong positive We can estimate the simple linear regression model using Least Squares (LS) yielding the following LS regression line: y = 20. 94 + 1. 069x Stat 326 (Spring 2013) Introduction to Business Statistics II / 47 Stat 326 (Spring 2013) Introduction to Business Statistics II 4 / 47 Review: Inference for Regression Interpretation of estimated intercept b0 : corresponds to the predicted value of y , i. e. y , when x = 0 Review: Inference for Regression Interpretation of estimated slope b1 : corresponds to the change in y for a unit increase in x: when x increases by 1 unit y will increase by the value of b1 interpretation of b0 is not always meaningful (when x cannot take values close to or equal to zero) here b0 = 20. 94: when a property is appraised at zero value the predicted sales price is $20,940 — meaningful?!Stat 326 (Spring 2013) Introduction to Business Statistics II 5 / 47 b1 < 0: y decreases as x increases (negative association) b1 > 0: y increases as x increases (positive association) here b1 = 1. 069: when the appraised value of a property increases by 1 unit, i. e. by $1,000, the predicted sale price will increase by $1,069. Stat 326 (Spring 2013) Introduction to Business Statistics II 6 / 47 Review: Inference for Regression Measuring strength and adequacy of a linear relationship correlation coe? cient r : measure of strength of linear relationship ? 1 ? r ? 1 here: r = 0. 9723 Review: Inference for RegressionPopulation regression line Recall from Stat 226 Population regression line The regression model that we assume to hold true for the entire population is the so-called population regression line where  µy = ? 0 + ? 1 x, coe? cient of determination r 2 : amount of variation in y explained by the ? tted linear model 0 ? r2 ? 1 here: r 2 = (0. 9723)2 = 0. 9453 ? 94. 53% of the variation in the sale price can be explained through the line ar relationship between the appraised value (x) and the sale price (y ) Stat 326 (Spring 2013) Introduction to Business Statistics II 7 / 47  µy — average (mean) value of y in population for ? xed value of x ? — population intercept ? 1 — population slope The population regression line could only be obtained if we had information on all individuals in the population. Stat 326 (Spring 2013) Introduction to Business Statistics II 8 / 47 Review: Inference for Regression Based on the population regression line we can fully describe relationship between x and y up to a random error term ? y = ? 0 + ? 1 x + ? , where ? ? N (0, ? ) Review: Inference for Regression In summary, these are important notations used for SLR: Description x y Parameters ? 0 ? 1  µy ? Stat 326 (Spring 2013) Introduction to Business Statistics II 9 / 47 Stat 326 (Spring 2013)Description Estimates b0 b1 y e Description Introduction to Business Statistics II 10 / 47 Review: Inference for Regre ssion Review: Inference for Regression Validity of predictions Assuming we have a â€Å"good† model, predictions are only valid within the range of x-values used to ? t the LS regression model! Predicting outside the range of x is called extrapolation and should be avoided at all costs as predictions can become unreliable. Why ? t a LS regression model? A â€Å"good† model allows us to make predictions about the behavior of the response variable y for di? rent values of x estimate average sale price ( µy ) for a property appraised at $223,000: x = 223 : y = 20. 94 + 1. 069 ? 223 = 259. 327 ? the average sale price for a property appraised at $223,000 is estimated to be about $259,327 What is a â€Å"good† model? — answer to this question is not straight forward. We can visually check the validity of the ? tted linear model (through residual plots) as well as make use of numerical values such as r 2 . more on assessing the validity of regression model wi ll follow. 11 / 47 Stat 326 (Spring 2013) Introduction to Business Statistics II 12 / 47 Stat 326 (Spring 2013)Introduction to Business Statistics II Review: Inference for Regression What to look for: Review: Inference for Regression Regression Assumptions residual plot: Assumptions SRS (independence of y -values) linear relationship between x and  µy for each value of x, population of y -values is normally distributed (? ? ? N) r2 : for each value of x, standard deviation of y -values (and of ? ) is ? In order to do inference (con? dence intervals and hypotheses tests), we need the following 4 assumptions to hold: Stat 326 (Spring 2013) Introduction to Business Statistics II 13 / 47 Stat 326 (Spring 2013) Introduction to Business Statistics II 14 / 47Review: Inference for Regression †SRS Assumption† is hardest to check The †Linearity Assumption† and †Constant SD Assumption† are typically checked visually through a residual plot. Recall: residua l = y ? y = y ? (b0 + b1 x) The †Normality Assumption† is checked by assessing whether residuals are approximately normally distributed (use normal quantile plot) plot x versus residuals any pattern indicates violation Review: Inference for Regression Stat 326 (Spring 2013) Introduction to Business Statistics II 15 / 47 Stat 326 (Spring 2013) Introduction to Business Statistics II 16 / 47 Review: Inference for RegressionReturning to the Tampa Palms, Florida example: 100 50 Residual 0 -50 -100 -150 0 100 200 300 400 500 600 700 800 900 1000 Review: Inference for Regression Going one step further, excluding the outlier yields 0. 2 0. 1 0. 0 -0. 1 -0. 2 -0. 3 4 4. 5 5 5. 5 log Appraised 6 6. 5 7 Residual Appraised Value (in Thousands of Dollars) Note: non-constant variance can often be stabilized by transforming x, or 0. 5 y , or both: Residual 0. 0 -0. 5 -1. 0 -1. 5 4 4. 5 5 5. 5 log Appraised 6 6. 5 7 outliers/in? uential points in general should only be excluded from an analysis if they can be explained and their exclusion can be justi? ed, e. g. ypo or invalid measurements, etc. excluding outliers always means a loss of information handle outliers with caution may want to compare analyses with and without outliers Stat 326 (Spring 2013) Introduction to Business Statistics II 17 / 47 Stat 326 (Spring 2013) Introduction to Business Statistics II 18 / 47 Review: Inference for Regression normal quantile plots Tampa Palms example Residuals Sale Price (in Thousands of Dollars) 100 .01 . 05 . 10 . 25 . 50 . 75 . 90 . 95 . 99 Review: Inference for Regression Residuals log Sale 50 Regression Inference Con? dence intervals and hypotheses tests -3 -2 -1 0 1 2 3 Normal Quantile Plot -50 -100 Need to assess whether linear relationship between x and y holds true for entire population. .01 . 05 . 10 . 25 . 50 . 75 . 90 . 95 . 99 Residuals log Sale without outlier 0. 2 0. 1 0 -0. 1 -0. 2 -0. 3 -3 -2 -1 0 1 2 3 This can be accomplished through testing H0 : ? 1 = 0 vs. H0 : ? 1 = 0 based on the estimates slope b1 . For simplicity we will work with the untransformed Tampa Palms data. Normal Quantile Plot Stat 326 (Spring 2013) Introduction to Business Statistics II 19 / 47 Stat 326 (Spring 2013) Introduction to Business Statistics II 20 / 47 Review: Inference for RegressionReview: Inference for Regression Example: Find 95% CI for ? 1 for the Tampa Palms data set Con? dence intervals We can construct con? dence intervals (CIs) for ? 1 and ? 0 . General form of a con? dence interval estimate  ± t ? SEestimate , where t ? is the critical value corresponding to the chosen level of con? dence C t ? is based on the t-distribution with n ? 2 degrees of freedom (df) Interpretation: Stat 326 (Spring 2013) Introduction to Business Statistics II 21 / 47 Stat 326 (Spring 2013) Introduction to Business Statistics II 22 / 47 Review: Inference for Regression Review: Inference for RegressionTesting for a linear relationship between x and y If we wish to tes t whether there exists a signi? cant linear relationship between x and y , we need to test H0 : ? 1 = 0 Why? If we fail to reject the null hypothesis (i. e. stick with H0 = ? 1 = 0), the LS regression model reduces to  µy = ? 1 =0 versus Ha : ? 1 = 0 ?0 + ? 1 x ? 0 + 0  · x ? 0 (constant) Introduction to Business Statistics II 24 / 47 = = implying that  µy (and hence y ) is not linearly dependent on x. Stat 326 (Spring 2013) Introduction to Business Statistics II 23 / 47 Stat 326 (Spring 2013) Review: Inference for Regression Review: Inference for RegressionExample (Tampa Palms data set): Test at the ? = 0. 05 level of signi? cance for a linear relationship between the appraised value of a property and the sale price Stat 326 (Spring 2013) Introduction to Business Statistics II 25 / 47 Stat 326 (Spring 2013) Introduction to Business Statistics II 26 / 47 Inference about Prediction Why ? t a LS regression model? The purpose of a LS regression model is to 1 Inference about Predi ction 2 estimate  µy – average/mean value of y for a given value of x, say x ? e. g. estimate average sale price  µy for all residential property in Tampa Palms appraised at x ? $223,000 predict y – an individual/single future value of the response variable y for a given value of x, say x ? e. g. predict a future sale price of an individual residential property appraised at x ? =$223,000 Keep in mind that we consider predictions for only one value of x at a time. Note, these two tasks are VERY di? erent. Carefully think about the di? erence! Stat 326 (Spring 2013) Introduction to Business Statistics II 27 / 47 Stat 326 (Spring 2013) Introduction to Business Statistics II 28 / 47 Inference about Prediction To estimate  µy and to predict a single future y value for a given level of x = x ? we can use the LS regression line y = b0 + b1 x Simply substitute the desired value of x, say x ? , for x: y = b0 + b1 x ? Inference about Prediction In addition we need to know how much variability is associated with the point estimator. Taking the variability into account provides information about how good and reliable the point estimator really is. That is, which range potentially captures the true (but unknown) parameter value? Recall from 226 ? construction of con? dence intervals Stat 326 (Spring 2013) Introduction to Business Statistics II 29 / 47 Stat 326 (Spring 2013) Introduction to Business Statistics II 0 / 47 Inference about Prediction Much more variability is associated with estimating a single observation than estimating an average — individual observations always vary more than averages!! Inference about Prediction Therefore we distinguish a con? dence interval for the average/mean response  µy and a prediction interval for a single future observation y Both intervals use a t ? critical value from a t-distribution with df = n ? 2. the standard error will be di? erent for each interval: While the point estimator for the average  µ y and the future individual value y are the same (namely y = b0 + b1 x ? , the of the two con? dence intervals ! Stat 326 (Spring 2013) Introduction to Business Statistics II 31 / 47 Stat 326 (Spring 2013) Introduction to Business Statistics II 32 / 47 Inference about Prediction Con? dence interval for the average/mean response  µy Width of the con? dence interval is determined using the standard error SE µ (from estimating the mean response) SE µ can be obtained in JMP Keep in mind that every con? dence interval is always constructed for one speci? c given value x ? A level C con? dence interval for the average/mean response  µy , when x takes the value x? is given by y  ± t ?SE µ , where SE µ is the standard error for estimating a mean response. Stat 326 (Spring 2013) Introduction to Business Statistics II 33 / 47 Inference about Prediction Prediction interval for a single (future) value y Again, Width of the con? dence interval is determined using the standard error SE µ (from estimating the mean response) SEy can be obtained in JMP Keep in mind that every prediction interval is always constructed for one speci? c given value x ? A level C prediction interval for a single observation y , when x takes the value x ? is given by y  ± t ? SEy , where SEy is the standard error for estimating a single response.Stat 326 (Spring 2013) Introduction to Business Statistics II 34 / 47 Inference about Prediction The larger picture: Inference about Prediction The larger picture cont’d. Stat 326 (Spring 2013) Introduction to Business Statistics II 35 / 47 Stat 326 (Spring 2013) Introduction to Business Statistics II 36 / 47 Inference about Prediction Example: An appliance store runs a 5-month experiment to determine the e? ect of advertising on sales revenue. There are only 5 observations. The scatterplot of the advertising expenditures versus the sales revenues is shown below: Bivariate Fit of Sales Revenues (in Dollars) By Advertising expenditur eInference about Prediction Example cont’d: JMP can draw the con? dence intervals for the mean responses as well as for the predicted values for future observations (prediction intervals). These are called con? dence bands: Bivariate Fit of Sales Revenues (in Dollars) By Advertising expenditure 5000 5000 Sales Revenues (in Dollars) 4000 3000 2000 1000 Sales Revenues (in Dollars) 4000 3000 2000 1000 0 0 0 100 200 300 400 500 600 Advertising expenditure (in Dollars) 0 100 200 300 400 500 600 Advertising expenditure (in Dollars) Linear Fit Linear Fit Sales Revenues (in Dollars) = -100 + 7 Advertising expenditure (in Dollars)Stat 326 (Spring 2013) Introduction to Business Statistics II 37 / 47 Stat 326 (Spring 2013) Introduction to Business Statistics II 38 / 47 Inference about Prediction Inference about Prediction Estimation and prediction (for the appliance store data) Estimation and prediction – Using JMP For each observation in a data set we can get from JMP: y , SEy , and also SE µ . In JMP do: 1 2 We wish to estimate the mean/average revenue of the subpopulation of stores that spent x ? = 200 on advertising. Suppose that we also wish to predict the revenue in a future month when our store spends x ? = 200 on advertising.The point estimate in both situations is the same: y = ? 100 + 7 ? 200 ? 1300 the corresponding standard errors of the mean and of the prediction however are di? erent: SE µ ? 331. 663 SEy ? 690. 411 40 / 47 Choose Fit Model From response icon, choose Save Columns and then choose Predicted Values, Std Error of Predicted, and Std Error of Individual. Stat 326 (Spring 2013) Introduction to Business Statistics II 39 / 47 Stat 326 (Spring 2013) Introduction to Business Statistics II Inference about Prediction Estimation and prediction (cont’d) Note that in the appliance store example, SEy > SE µ (690. 411 versus 331. 63). This is true always: we can estimate a mean value for y for a given x ? much more precisely than we can predict the value of a single y for x = x ?. In estimating a mean  µy for x = x ? , the only uncertainty arises because we do not know the true regression line. In predicting a single y for x = x ? , we have two uncertainties: the true regression line plus the expected variability of y -values around the true line. Inference about Prediction Estimation and prediction (cont’d) It always holds that SE µ < SEy Therefore a prediction interval for a single future observation y will always be wider than a con? ence interval for the mean response  µy as there is simply more uncertainty in predicting a single value. Stat 326 (Spring 2013) Introduction to Business Statistics II 41 / 47 Stat 326 (Spring 2013) Introduction to Business Statistics II 42 / 47 Inference about Prediction Example cont’d: JMP also calculates con? dence intervals for the mean response  µy as well as prediction intervals for single future observations y. (For instructions follow the handout o n JMP commands related to regression CIs and PIs. ) Inference about Prediction Example cont’d: To construct both a con? ence and/or prediction interval, we need to obtain SE µ and SEy in JMP for the value x ? that we are interested in: Month Ad. Expend. Sales Rev. Pred. Sales Rev. StdErr Pred Sales Revenues StdErr Indiv Sales Revenues Let’s construct one 95% CI and PI by hand and see if we can come up with the same results as JMP: In the second month the appliance store spent x = $200 on advertising and observed $1000 in sales revenue, so x = 200 and y = 1000 Using the estimated LS regression line, we predict: y = ? 100 + 7 ? 200 = 1300 Stat 326 (Spring 2013) Introduction to Business Statistics II 43 / 47 Need to ? nd t ? ?rst:Stat 326 (Spring 2013) Introduction to Business Statistics II 44 / 47 Inference about Prediction A 95% CI for the mean response  µy , when x ? = 200: Inference about Prediction A 95% PI for a single future observation of y , when x ? = 200: S tat 326 (Spring 2013) Introduction to Business Statistics II 45 / 47 Stat 326 (Spring 2013) Introduction to Business Statistics II 46 / 47 Inference about Prediction Example cont’d: Advertising exp. Sales Rev. Lower 95% Mean Upper 95% Mean Sales Rev. Sales Rev. Lower 95% Indiv Sales Rev. Upper 95% Indiv Sales Rev. Month Stat 326 (Spring 2013) Introduction to Business Statistics II 47 / 47