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Hello, Please see the attachment of essay.Once you accept my request, I will upload my resume to help you answer this essay. This essay is

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Hello,

Please see the attachment of essay.Once you accept my request, I will upload my resume to help you answer this essay. This essay is an application for the graduate school. I really hope to get accepted by the graduate school. I am not sure if my essay is right or not.

image text in transcribed In no fewer than 500 words, please explain to the admissions committee your quantitative background. Include previous and/or current quantitative/analytical academic courses completed as well as grades received at the undergraduate, graduate, certificate, or non-degree level. In addition, include an example of a professional experience that demonstrates your quantitative skills. Describe to the committee and provide examples of your ability to communicate in a strong written and oral capacity. Be sure to list any earned certifications. Introduction Quantitative methods are powerful decision making tools that use mathematical, numerical or statistical analysis of raw or existing data in order to project the expected future outcomes. These methods are very crucial as they determine the success of any business as the management is able to make sound decisions based on tangible facts other than mare intuition and past experience. All modern businesses, small, medium and large, have always used the quantitative methods in management, which has improved their success and risk management. Bison TV, where I worked as a Business manager in August to December 2014, not being an exception. One among areas where I substantially used the quantitative techniques was in long-term cash flow projections and forecasting. Cash flow entails all the ways through which money gets in and out of the business. Cash flow is the blood and life of a business. Cash flow forecast entails projection of future cash inflow and outflows in the business. This is important as it guarantees financial security of a business. Applications of quantitative methods in Bison T.V In order to make sound and informed decisions on the cost of advertisement and also the salary expenses and other revenues and expenditures for the Bison TV, I, being the Business Manager, carries out monthly cash flow forecast and projections. This ensured that the customers were not over-exploited by standardizing the advertisement cost; the salary of the workers remained in realistic limits, profit margin standardisation and most importantly guaranteed financial security of the business by ensuring an optimal outcome from all the business constrains of cost, scope and time. I implemented these using two types of quantitative methods, regression analysis and factor analysis Regression analysis This is a technique used to estimate the outcome of the dependent variable on varying the independent variable. I used this method to determine the popularity of the Bison TV indicated by the number of advertisement requests and viewers feedback after carrying out advertisement of the TV station on other social media platforms and introduction of different television programmes. This was then used to decide whether or not to advertise the business and the realistic amount of money to allocate in advertising it. Factor analysis This type of quantitative method that employs the relation between available data in order to predict the unmeasured factor. I used this method to determine effect of advertisement prices on the popularity of the TV station. By increasing the cost of an advertisement, the number of retained or subsequent customers was analysed in order to decide on the appropriate cost to set, present and in the future, with viability of the business not put at stake. Another factor analysed was competitions from other TV stations so as to determine the revenues and expenditures and hence future cash flows. Conclusion Future plans are usually the backbone of every successful business. To do this, informed decisions are required and this can only be achieved by statistically or mathematically predicting and proving the right course to follow. This is done by several techniques, quantitative methods being one of them

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