Thursday, October 24, 2019

Relationship Between Money and Happiness

Preface First, people could not be without money. That is, if people out of money, people have no happiness lives with. Money is the foundation of live, for if there is no money, people cannot survive. If people cannot survive, how can there be happiness at all. Second, money is not everything. Most of the happiness could not be brought by money. For example, Bill Gates cannot enjoy the happiness of escape from a disaster, cannot enjoy the happiness of be a world champion, cannot enjoy the happiness of win the gold medal, cannot enjoy the happiness of families reunion, cannot enjoy the happiness of be a president. Money only slightly associated with happiness In fact, when people have enough of money, the happiness people gain become less and less. It is majority people unexpected, but this is the fact that Western countries live for decades. Experts in the West confirmed a fact: â€Å"If you made a graph of American life since the end of World War II, every line concerning money and the things that money can buy would soar upward, a statistical monument to materialism. Inflation-adjusted income per American has almost tripled, such as per capita income, real income, lifetime, housing area, the per capita car number, the number of telephone calls each year, the number of trips per year, the highest degree IQ scores. No matter how you chart the trends in earning and spending, everything is up, up, up. But if you made a chart of American happiness since the end of World War II, the lines would be as flat as a marble tabletop. Almost everything is getting better, but people did not feel happier. Yale University political science professor Robert †¢ Portland found that if you charted the incidence of depression since 1950, the lines suggest a growing epidemic. Money jangles in our wallets and purses as never before, but we are basically no happier for it, and for many, more money leads to depression. Correlation between money and happiness- 0. 25 Many scholars have been extensive, large-scale sample survey concluded. Concluded that: money and happiness is not the way people think proportional, neither the happier the more wealthy people, the more money the less happy people. The relationship between them is minimal, with scholars jargon, the relationship between them is only â€Å"slightly positive. † The psychology of money, this book made a quantifiable figure on the relationship between money and happiness – † there have been a number of studies of this relationship, and they all come up with a correlation of about 0. 25 † This book use x-axis and y-axis, the mathematics way, visually describe the relationship between money and happiness: assuming that use y-axis draw the satisfaction of happiness, and use x-axis describe the amount of money. The intersection of two axes is the starting point of zero. And then make a mark on y-axis at 0. 25, which is limit value of the correlation between money and happiness. When people's incomes are low, the satisfaction of happiness is very low indeed. When people are without money, the satisfaction of happiness is almost close to zero. Once people just out of the poverty line, the curve which describe the relationship between money and happiness will rush up almost touch the 0. 25 line. And then quickly become a horizontal line at 0. 5 irrelevant with the x-axis. Even if the amount of money on the x-axis increasing in thousands, millions, or billions rate doubled, the relationship between money and happiness curve ignore it. The line will never exceed 0. 25. And the curve maybe fall to 0. 2, 0. 1 or lower level. In mathematics, this phenomenon is called â€Å"diminishing marginal effect. † Reasons for money and happiness curve diminished Through observation and study of happine ss, we can find that any happiness in the world has a premise which is desire. If people have no desire, people would not have happiness. So eager is only source of happiness. Desire is something people look forward, but do not get yet. So happiness is the pleasure when people are satisfied or say gets the thing which they look forwards. Furthermore, we can draw a conclusion, happiness (that is the source) is unrenewable. After we got a happiness, we can repeat to enjoy it, the desire will diminished, until disappear. This means people only have N times to enjoy the same type of happiness. For example, when people have learned how to ride bicycle, he will use it as much as possible, the happiness he get will increase. But when the time he ride bicycle reach to N, the happiness he get before will fall to zero. Because of happiness is non-renewable resources, so in the world of money and material, everyone has the limited resources of desire, and everyone has limited happiness to enjoy. For example, after we learned how to ride bicycle, and enjoy the happiness of ride bicycle, we will never enjoy it again. Along with our possession increase, our happiness will increase too. But the resources of happiness will diminish. It means the happiness we can enjoy will decrease. That is reasons for money and happiness curve diminished Conclusion They say money can't buy happiness, but it can facilitate it. —Malcolm Forbes Happiness is the desire for repetition. –Milan Kundera At the lower end of the income scale the better-off are happier; there is no effect from the middle of the scale onwards. And there has been no historical effect of increased national prosperity on happiness. There is evidence that people are happier of they think they are doing better than other people, or than they did themselves previously. Other sources of happiness are much more important, such as leisure, job satisfaction, social relations and personality. Money has very little effect on these, money people want to be rich or richer, and many take part in lotteries, no doubt in the belief that winning will make them happier. References

Wednesday, October 23, 2019

Character Analysis of Meredith Grey in Grey’s Anatomy Essay

Meredith Grey, M. D. is a fictional character from the medical drama television series Grey’s Anatomy, which airs on the American Broadcasting Company (ABC) in the United States. The character was created by series’ producer Shonda Rhimes, and is portrayed by actress Ellen Pompeo. Meredith is the series’ protagonist, and was introduced as a surgical intern at the fictional Seattle Grace Mercy West Hospital, eventually obtaining the position of resident, and later attending. As the daughter of world-renowned surgeon Ellis Grey, Meredith struggles with the everyday life of being an attending, maintaining the relationship with her one-night stand and eventual husband Derek Shepherd, her new-found motherhood, and the friendships with her colleagues. Meredith is the narrator of the show and serves as the focal point for most episodes. Pompeo’s connection with Patrick Dempsey (Derek Shepherd) is acclaimed as a high point of the series. Rhimes has characterized Meredith as not believing in good or bad, but doing what she thinks is right. Pompeo has been nominated for several awards, winning many of them, for her performance on the show. Grey has been positively received by television critics, with Alessandra Stanley of The New York Times referring to her as â€Å"the heroine of Grey’s Anatomy†. News of Pompeo leaving uprose when it was made clear that her contract ended after the eighth season. Speculation occurred again when Rhimes reported that Grey’s Anatomy will be returning for a ninth season. TVLine reported that Ellen Pompeo has signed on for two more years, along with her fellow cast members.

Tuesday, October 22, 2019

Science Terms and Definitions You Should Know

Science Terms and Definitions You Should Know Scientific experiments involve variables, controls, a hypothesis, and a host of other concepts and terms that may be confusing. This is a glossary of important science experiment terms and definitions. Glossary of Science Terms Central Limit Theorem: states that with a large enough sample, the sample mean will be normally distributed. A normally distributed sample mean is necessary to apply the t test, so if you are planning to perform a statistical analysis of experimental data, its important to have a sufficiently large sample. Conclusion: determination of whether the hypothesis should be accepted or rejected. Control Group: test subjects randomly assigned to not receive the experimental treatment. Control Variable: any variable that does not change during an experiment. Also known as constant variable Data:  (singular: datum) facts, numbers, or values obtained in an experiment. Dependent Variable: the variable that responds to the independent variable. The dependent variable is the one being measured in the experiment. Also known as the dependent measure, responding variable double-blind: neither the researcher nor the subject knows whether the subject is receiving the treatment or a placebo. Blinding helps reduce biased results. Empty Control Group: a type of control group which does not receive any treatment, including a placebo. Experimental Group: test subjects randomly assigned to receive the experimental treatment. Extraneous Variable: extra variables (not the independent, dependent, or control variable) that may influence an experiment, but are not accounted for or measured or are beyond control. Examples may include factors you consider unimportant at the time of  an experiment, such as the manufacturer of the glassware in a reaction or the color of paper used to make a paper airplane. Hypothesis: a prediction of whether the independent variable will have an effect on the dependent variable or a prediction of the nature of the effect.   Independence  or  Independently:  means one factor does not exert influence on another. For example, what one study participant does should not influence what another participant does. They make decisions independently. Independence is critical for a meaningful statistical analysis. Independent Random Assignment: randomly selecting whether a test subject will be in a treatment or control group. Independent Variable: the variable that is manipulated or changed by the researcher. Independent Variable Levels: refers to changing the independent variable from one value to another (e.g., different drug doses, different amounts of time). The different values are called levels. Inferential Statistics: applying statistics (math) to infer characteristics of a population based on a representative sample from the population. Internal Validity: an experiment is said to have internal validity if it can accurately determine whether the independent variable produces an effect. Mean: the average calculated by adding up all the scores and then dividing by the number of scores.   Null Hypothesis: the no difference or no effect hypothesis, which predicts the treatment will not have an effect on the subject. The null hypothesis is useful because it is easier to assess with a statistical analysis than other forms of a hypothesis. Null Results (Nonsignificant Results): results that do not disprove the null hypothesis. Null results dont prove the null hypothesis, because the results may have resulted from a lack of power. Some null results are type 2 errors. p 0.05: This is an indication of how often chance alone could account for the effect of the experimental treatment. A value p 0.05 means that 5 times out of a hundred, you could expect this difference between the two groups, purely by chance. Since the chance of the effect occurring by chance is so small, the researcher may conclude the experimental treatment did indeed have an effect. Note other p or probability values are possible. The 0.05 or 5% limit simply is a common benchmark of statistical significance. Placebo (Placebo Treatment):  a  fake treatment that should have no effect, outside of the power of suggestion. Example: In drug trials, test patients may be given a pill containing the drug or a placebo, which resembles the drug (pill, injection, liquid) but doesnt contain the active ingredient. Population: the entire group the researcher is studying. If the researcher cannot gather data from the population, studying large random samples taken from the population may be used to estimate how the population would respond. Power: the ability to observe differences or avoid making Type 2 errors. Random or Randomness: selected or performed without following any pattern or method. To avoid unintentional bias, researchers often use random number generators or flip coins  to make selections. (learn more) Results: the explanation or interpretation of experimental data. Statistical Significance: observation, based on the application of a statistical test, that a relationship probably is not due to pure chance. The probability is stated (e.g., p 0.05) and the results are said to be statistically significant. Simple Experiment: basic experiment designed to assess whether there are a cause and effect relationship or test a prediction. A fundamental simple experiment may have only one test subject, compared with a controlled experiment, which has at least two groups. Single-blind: when either the experimenter or subject is unaware whether the subject is getting the treatment or a placebo. Blinding the researcher helps prevent bias when the results are analyzed. Blinding the subject prevents the participant from having a biased reaction. T-test: common statistical data analysis applied to experimental data to test a hypothesis. The t-test computes the ratio between the difference between the group means and the standard error of the difference (a measure of the likelihood the group means could differ purely by chance). A rule of thumb is that the results are statistically significant if you observe a difference between the values that are three times larger than the standard error of the difference, but its best to look up the ratio required for significance on a t table. Type I Error (Type 1 error): occurs when you reject the null hypothesis, but it was actually true. If you perform the t-test and set p 0.05, there is less than a 5% chance you could make a Type I error by rejecting the hypothesis based on random fluctuations in the data. Type II Error (Type 2 error): occurs when you accept the null hypothesis, but it was actually false. The experimental conditions had an effect, but the researcher failed to find it statistically significant.

Monday, October 21, 2019

Essay about Financial Plan

Essay about Financial Plan Essay about Financial Plan Business Plan MR.BEAR Korean Barbeque (BBQ) Buffet Jinse, Zoe, Nicky, Nichole, Ying CONTENTS 1. Business Idea * Goods or services * Product, price, sizes, services, offers * Logo * Business name 2. Market * Market size * Market segment * Main competitors * 3. Research * Primary research * Secondary research 4. Legal Structure 5. Location 6. Human resource * Number of employees you plan to employ 7. Finance * Sources of finance(short and long term) 8. Costs * Start-up costs * Fixed and variable costs 9. Budget * Sales budget * Cost budget * Production budget 10. Financial forecast * Break even chart * Cash flow forecast 11. SWOT analysis 12. Appendix BUSINESS IDEA MR.BEAR is a Korean BBQ Buffet restaurant. We will provide many different types and parts of fresh meats (Beef, pork, chicken, lamb). It will be called the meat bar. Also, we will offer salad bar and even desserts. Our first restaurant will be located in Tottenham Court Road, London. MR.BEAR would be a medium restaurant like Pizza Hut and Nando’s which are normal restaurants for people as not too expensive compare to high restaurants like hotel meals therefore they are easy to come and enjoy our restaurant. Korean BBQ refers to the Korean method of grilling beef, pork, chicken, lamp or other types of meat. Such dishes are often prepared at the diner's table on gas or charcoal grills that are built into the table itself. Some Korean restaurants that do not have built-in grills provide portable stoves for diners to use at their tables. As we mentioned above, our restaurant will be operated as a buffet which is a system of serving meals in which food is placed in a public area where the diners generally serve themselves. We will provide fresh many different meats, vegetables, side dishes and desserts (fruits and ice creams). People can choose and eat every food that they want to try. Moreover, about drinks, not only soft drinks but we will also offer Korean traditional teas and Korean traditional alcoholic drinks (Soju and Makgeolli). [ If people pay certain amount money (It will be shown below), they could try all the food as much as you like. We will only charge costs for drinks. However, there is a time limit maximum two hours as some people could stay more than 3hours, and then our business would be failed. Pictures of meat bar How to enjoy our restaurant (grill) Step 1 Bring your food what you want from the food bars and put your meat like the picture below Step 2 When the meat is roasted well done one, then roast another part as well. Step 3 When the both side of meat are roasted, and then cut the meat. Step4 Menu | Weekdays | Weekends | Lunch | * Adult: Â £14.90 * Student: Â £11.90 * Children(5-11): Â £5 * Baby(0-4): Free | * Adult: Â £16.90 * Student: Â £13.90 * Children(5-11): Â £5 * Baby(0-4): Free | Dinner | * Adult: Â £17.90 * Student: Â £14.90 * Children(5-11): Â £7 * Baby(0-4): Free | * Adult: Â £19.90 * Student: Â £16.90 * Children(5-11): Â £7 * Baby(0-4): Free | Special side dishes * Korean cold noodle: Â £3 * Korean spicy noodle: Â £3 * Korean Miso soup: Â £3 * Korean Kimchee soup: Â £3 | Drinks * Soft drinks: Â £1.30 * Korean green tea: Â £2Beverages * Soju: Â £8.90 * Makgeolli(rice wine):

Sunday, October 20, 2019

Cherchez la Femme - The Sexist French Expression

Cherchez la Femme - The Sexist French Expression Cherchez la femme is an expression that has somewhat shifted meaning between French and English. Literally, this expression translates as look for the woman. Cherchez la Femme (Not Churchy la Femme) English Meaning In English, this expression means the same problem as ever, kind of like go figure. Its often misspelled as Churchy la femme! - Im still hungry.- Cherchez la femme!   Cherchez la Femme French Meaning But its original meaning is much more sexist. The expression comes from the 1854 novel The Mohicans of Paris by Alexandre Dumas. Cherchez la femme, pardieu ! Cherchez la femme! The phrase is repeated several times in the novel. The French meaning is no matter what the problem may be, a woman is often the cause. Look for the mistress, the jealous wife, the angry lover... there is a woman at the root of each problem. - Je nai plus dargent. I no longer have money.- Cherchez la femme. Look for the woman - ie your wife must have spent it all. Beware French phrases that are commonly used by English  speakers, including voulez-vous coucher avec moi, ce soir, as they may be misused and offensive.

Saturday, October 19, 2019

Finance Essay Example | Topics and Well Written Essays - 2250 words - 3

Finance - Essay Example There were already reports of rising default on subprime mortgages that further fuelled quickly thereafter. Such mortgages are usually given to borrowers with below average credit ratings which are mainly due to their higher average risk of evasion in loan repayment. The financial institutions often charge higher interest on subprime mortgages in order to compensate for the risk taken. Thus, as the banks began clear out more loans to home owners, the housing prices rose. The easy accessibility of credit in U.S. in addition to large foreign inflows led to the boom in construction and increased consumer spending that was mostly financed by debt. The falling prices of houses resulted in more homes less worthy than mortgaged loans which provided a financial incentive to financial institution to take possession of mortgaged property when the mortgagor failed redeem loans leading to financial crisis in banking sector (Brunnermeier, pp.78-81). 2- What would a commercial bank's balance sheet have looked like in 1973? What would an investment bank's balance sheet have looked like in 1973? Considering Bear Stearns in 2007, was it closer to a commercial bank or an investment bank? During the period of 1973, the commercial bank operations involved both issuing loans as well as taking deposits. The loans and deposits were shown in the lenders’ balance sheet. On the other hand the investment banking operations involved underwriting activities such as underwriting equity and debt. In addition to underwriting activities, the investment banking operations also included buying and selling of securities. The investment bankers would buy securities such as debt and equities from a syndicate bank and then sell such security to investors. Thus, the investment bank would act like a market maker and their functions were similar to that of a broker or a dealer. Historically, the financial companies could slot in both investment and the commercial banking activities. It was only after the Great Depression Era that the congress realized the intrinsic risk of underwriting securities and hence decided to separate the commercial banking activities from the investment banking activities. Such a step was taken to protect the depositors from the risk of defaulting from underwriting activities. The Congress issued Glass-Steagall Act to separately identify the commercial and investment banking activities of the banks. The distinction between the investment banks and commercial banks narrowed during the mid 80s. In the late 80s, Fed started removing the Glass-Steagall Act that restricted the interference of investment activities from commercial activities. This Act was ratified by the Congress in the year 1999 with passing of Gramm-Leach-Bliley Act. After the issue of this new act many investment and commercial banks were consolidated that resulted into renowned conglomerates like UBS group, Citi group, JP Morgan Chase, and so on. But other exclusive investment banks like Bear Sterns decided not to enter the commercial banking activities and take deposits. 3- Bear Stearns fell quickly. On March 10th, SEC Chairman Christopher Cox described Bear as being "well-capitalized". Do you agree with this assessment? Why or why not? Bear Sterns & Co. also known as Bear was the fifth-largest investment bank

Friday, October 18, 2019

Comparison between Confucius and Lao Tzu Research Paper

Comparison between Confucius and Lao Tzu - Research Paper Example The teachings associated with Confucius can be considered as concepts of human activities and they contain five fundamental messages. The initial message demonstrates two key components which are Zen and li. The concept of Zen points toward humanity and benevolence while li addresses rules and decorum. According to Confucius, li was the greatest manifestation of Zen despite the fact that Zen is attained through li. This means that the capability to abide by rules and decorum was the most favorable way to display respect and regard to the authority figure and the environment inhabited by individuals. The second message associated with the teachings states that an individual who is honest and decent should obey the authority and avails a set of morals for people in authority. These two mechanisms demonstrated the opinions held by Confucius concerning the framework of the state as well as the manner in which the community is organized socially. The third message carries Confuciusâ€℠¢ warning to human beings against possessing anything that will make their characters become extreme. Confucius perceives the center as being the most favorable position for an individual. The fourth message addresses issues of power and Confucius considers that it should be based on the ideology of justice. In essence, he blended the ideas of power and justice into one concrete formation. The final message argues that the human beings have to be completely involved and realistic to the religion they confess.