Impact of Apple iPhone, iPod & Laptops on the US GDP and stock Price Essay

Impact of Apple iPhone, iPod & Laptops on the US GDP and stock Price - Essay Example Moreover, the company is in charge for the manufacturing of iTunes Media Browser, iLife and iWork creativity and production suites (Apple Computer Inc. Web). The company is the third largest mobile phone maker in the world after Samsung and Nokia. The company has also been named to be the most admired company in the United States in 2008 and the most admired company in the world from 2008 to 2012. Apple Inc. is the largest openly traded company in the world by market capitalization. The company has an estimated value of $626 billion listed in the New York Stock Exchange. This means that market capitalization of the company is larger than that of its competitors, Google and Microsoft put together. The company’s worldwide annual revenue amounted to $65 billion in 2010, which have grown to $156 billion in 2012 (Foremski 1). When it was first launched, the iPhone was comprehensively respected that it was dubbed the "Jesus Phone.† However, five years later, its impact is so h uge that its latest recapitulation possibly will accomplish the astounding achievement of redeeming the US economy. The tremendous growth of its iPhone, iPod Touch and iPad products have brought about the large growth of the company. These products introduced innovations in mobile phones, portable music players, and personal computers respectively. ... According to economist Michael Feroli of J.P. Morgan consultants, the total sale of iPhone 5 may boost the growth of the economy of the US, gross domestic product, by between a quarter and half a percentage point in the last quarter of 2012. This represents a 0.33% of the entire US economy. Economist Michael Feroli of J.P. Morgan consultants notes that if the company sells more than 8 million units of the iPhone 5 at a cost of $600 in three months, the total growth of gross domestic product per a unit of phone will be $400. However, $200 dollars of the total amount is taken towards import costs. This figure will translate to $3.2 billion in the last quarter of the year and a total of $12.8 billion for the entire year (Kehoe 2). Being the most admired and accomplished phone maker in the world, iPhone creates a huge demand from it admirers for its products. The huge demand for its products in turn exceeds the supply that the company can supply to its consumers at a time. This effect cr eates more speculation of improved performance in the company’s shares. The US economy is mostly dependent on the way in which the consumers spend. The company has created employment opportunities for more than 500,000 people in the country. This figure includes 47,000 of employees who work at apple and 200, 000 people who rely on the apple economy. The sale of apple’s products has the ability to increase share prices, customer expenditure, and the supply chain that involves component makers. The expected release of apples product creates a market surge, which has a huge effect on both domestic and foreign market. The market surge in turn shifts the stock prices upwards. For instance, the release of the iPhone 5 caused the stock price of Apple company

Nursing research Paper Example | Topics and Well Written Essays - 500 words

Nursing - Research Paper Example The p value is less than 0.001 which indicates that the data obtained are statistically significant. This, therefore, means that one should decrease their caloric intake; to maintain a low BMI because a high BMI puts one at a risk of getting lifestyle diseases such as high blood pressure and type 2-diabetes. 2) There is a very strong link between BMI and HDL cholesterol because according to the results, the correlation coefficient is very close to -1.00 (0.794). The relationship is however negative meaning as the BMI of an individual increases, the level of HDL cholesterol decreases. The p value is also less than 0.001 meaning that the results are statistically significant. Since it is healthy to have high HDL cholesterol levels, one should, therefore, aim at reducing their BMI to acceptable levels. 3) The relationship between the caloric intake and age of the respondents is not strong as indicated by the correlation coefficient (0.129) which is neither close to 1.00 nor - 1.00. The corresponding p value (0.588) also supports the results since it is far much greater than 0.001 indicating that the degree of significance is very low. 4) Using correlations as a statistical test has got several shortcomings. The correlation does not mean a cause-and-effect link between variables and so cannot be used for certain research questions which seek to determine that kind of relationship (Munro, 2005). For instance, it does not show if an increased caloric intake leads to a high BMI or high BMI causes one to take fewer calories. It also quantifies only the strength of the linear relationship and does not provide other details concerning the relationship between the variables. Correlations are also bivariate meaning they only compare two variables from two data sets at a time which may increase chances of making errors since this rarely occurs in reality (Trochim, 2006). This makes it unsuitable for researchers looking for interconnected relationships