Statements of Excellence in Statistics

PHD Statistics Statement of Purpose Sample

I see your particularly distinguished PhD Program in Statistics at the University of XXXX as the optimal springboard to launch my career, so as to maximize my contribution to the development of global society. I am highly motivated by the fact that, in the words of the Global Bank: “We are drowning in data and starving for insight.” I hope to earn the PhD at XXXX so as to become a master professional on the cutting edge of data - generated across industries, disciplines, and international boundaries. I could not be happier to be gearing up for a professional lifetime fully immersed in the mammoth task of organizing information, making it sensible, and translating it into a form that is suited to a vast array of specific purposes, especially with respect to human behavior and business trends. I see myself as an ideal fit for the program since I am profoundly drawn to the interdisciplinary nature of your program and the vast opportunities available at XXXX for participating in research endeavors on the cutting edge. I am particularly engaged with and excited about Data Mining, Machine Learning and Data Visualization.

Giving my all to my projects for my classes in Statistics and Econometrics has enabled me to become adept at managing large datasets and running simulations using R and STATA. Thanks to my Computer Science classes I am now efficient in modeling data structure and algorithms using Java and Python. At Data Fest, I mastered data cleansing and sample splitting, while modeling energy consumption predictions based on numerous industrial factors. Working on a research project with Professors Tania, Trapani, and Halvorsen helped me to master the statistical analysis of given data sets of interspike-intervals based on the mathematical models suggested. I learned new methods and how to run them such as Method of Moments, Newton-Raphson Reiteration, and the Kolmogorov-Smirnov Test. I have also cultivated perseverance and find great joy in my engagement with state-of-the-art research.

Since completing my undergraduate studies, for the past 3 years, I have been working as a PPC (pay per click) analyst. I run ads on Google for the company’s products and pay whenever users click ads. One of the most wonderful aspects of the PPC industry is almost everything is real time: cost, revenue, clicks and even customer data; millions of clicks are accompanied by millions of possible new customers and their data. Not only managing advertisements, I also deal with big data. I have honed my interpreting skills with real-world projects through SQL and Excel. One of my favorite projects was to analyze ad performance based on distance between the buyer’s shopping address and destination addresses where the purchased products would be in use. With the results, I built ad campaigns where different strategies where employed for different radii targets. In fact, the data that I am compiling has almost endless potential.

While utilizing data is a hot topic in the online marketing industry, I have been able to find only a few tools equipped with reliable technologies that can actually help marketers at deeper levels such as reading contextual signals upon which to base predictions. I look forward very much to contributing to developments in this area in the future. I am convinced that my destiny lies in data mining, machine learning and data visualization, and I hope to immerse myself in these subjects as a graduate student.

I have given countless hours to a variety of regressions models, classification methods and learning models including support vector machines. I have also made a constant effort to polish my visualization skills through Tableau, R, and Python. I have had ample opportunities to present my contributions to academic research, class projects, and workplace projects, and I increasingly appreciate how visualization is as important as the data itself since well-visualized data can be comprehended by almost any audience.

While data mining and machine learning have limitless potential in countless fields, the specific area in which I would like to make my mark, beginning with research in your doctoral program at UMass Amherst, would be to develop a tool that can diagnose diseases based on individuals’ online activities including search queries and posts on social media. Ultimately, I would like to design and develop a personalized medical assistant that tailors itself to the medical needs and resources of each individual, thus increasing and enhancing access to medical advice and treatment at a reasonable cost. With an observational study I conducted as a final project for my statistics class in college, I could see that coming from a low-income family, for example, has a more significant effect on students’ academic achievements than race or even disability. I further confirmed the notion that low-income families are more vulnerable to changes in health care systems through a project for my macroeconomics class dealing with US health care system. These prompted me to include helping the least fortunate members of society to improve their circumstances as part of my own professional goals. I aspire to build other personal tools later on as well, all of them oriented towards the noble goal of helping individuals and organizations.

Beginning my doctoral studies in Statistics will be the beginning of a new journey that will never end, and I wish I can start it at the Pioneer Valley. As a graduate of Smith, I am well aware of how much investment and support have been put in statistics and data science in the valley, providing students and researchers ample research opportunities. I have faith that I can continue to grow enormously and better myself personally, intellectually, and professionally, just like I did at Smith. I also firmly believe that my research can contribute to your university and academic community as well as millions of people who would benefit from the research. For all these reasons I am confident that University of XXXX is a great place for me to pursue a PhD. I thank you from the bottom of my heart for considering my application.

The Personal Statement of Purpose for Graduate Study in Statistics, Masters, PHD.

Statistics is the study of the collection, organization, analysis, interpretation and presentation of data. This includes the planning of data collection in terms of the design of surveys and experiments. A statistician is someone who is particularly well-versed in the ways of thinking necessary for the successful application of statistical analysis.

 Statisticians improve the quality of data by coming up with specific designs for experiments and surveys. Statistics itself also provides tools for prediction and forecasting the use of data and statistical models. Statistics is applicable to a wide variety of academic disciplines including both the physical and social sciences. Statistical consultants are available to provide help for organizations and companies without direct access to expertise relevant to their particular questions, issues, and challenges.

 Statistical methods can be used for summarizing or describing a collection of data. Descriptive statistics is an area that is particularly useful in research when communicating the results of experiments. Patterns in the data may be modeled in such a way as to account for randomness and uncertainty in the observations, and are then used for drawing inferences about the process or population being studied. The area of inferential statistics is particularly vital for scientific advance since it provides a means for drawing conclusions from data that are subject to random variation. Conclusions are tested in accordance with scientific method. Descriptive statistics and analysis of new data tend provide additional information with which to evaluate the truth of a proposition.

Sample 1st paragraph, MS Applied Mathematics and Statistics, Chinese

Your MS Degree in Applied and Computational Mathematics and Statistics Program at XXXX is my first choice for graduate school because of my profound admiration for both the interdisciplinary character of your program and your emphasis on practical applications for business and commerce. I am a Chinese woman now living in America who earned her undergraduate and Master’s degrees in Spacecraft Engineering back in China.  I have now been in America for 3 years. My daughter was born here and I have been a stay-at-home mom, improving my English and working at home as well. Most recently I have been analyzing data for two professors, one at Northwestern University and the other in India, in the area of Gen Y’s attitude towards Mobile Applications and In-app Advertising. Since my daughter will soon go to school, I want very much to go back to school as well.

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I help as many people as I can in the area of Statistics, providing an eloquent and convincing voice for applicants who think analytically and are better at Mathematics than they are writing. Sometimes, applicants in Statistics and Applied Statistics have difficulty putting their thoughts into words. I want to help.

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The Humanitarian Side of Statistics

Oxfam has come up with some excellent Humanitarian Key Facts in a new compilation. A specifically striking one was that of the total $3trn in aid over the last 20 years, just $70bn has gone on responding to ‘natural disasters’, and only $13.4bn (0.4%) on preparing for them in advance (Disaster Risk Reduction). Here’s a sample!

Conflict and Violence

• In the 12 months running up to June 2015, the world spent £7bn on peacekeeping (Source:UN). This is less than half of 1 percent of military expenditure worldwide (estimated at $1.75 trillion). (Source: SIPRI)

• The five permanent members of the UN Security Council (the UK, US, France, China and Russia) account for 75% of the world’s arms transfers, 59 percent of global military expenditure and less than 4 percent of UN peacekeepers.

• Every year since 2008, the world has become less peaceful: in 2014, the ongoing conflicts in Syria, Ukraine and South Sudan all contributed to this continuing trend. (Source: Institute for Economics and Peace)

• By the end of 2013, 51 million people were displaced by force as a result of persecution, conflict, violence or human rights violations. This is the highest number since World War II. (Source: UNHCR)

• More than 1.5 billion people live in countries that are blighted by conflict and face repeated cycles of violence. (Source: World Bank)

• Right now, one-third of the world’s poor live in fragile and conflict-ridden countries, and by 2018, this share is likely to grow to one-half. By 2030 it could be as much as two-thirds. (Source: OECD DAC and Brookings Institution)

• There are 21 countries where the lives of women are ruined by rape and other forms of sexual violence. In the space of one year (2006–2007), four women were raped every five minutes in the Democratic Republic of Congo. More than 400,000 women in 12 months. (Source: UN and The Telegraph)

• It is notoriously difficult to count the number of people killed in conflicts. But millions of people have lost their lives in recent years. Violence in the Democratic Republic of Congo has led to 5.4 million deaths since 1998. (Source: International Rescue Committee)

Disasters from Natural Hazards

• In the last 20 years, disasters from natural hazards have killed 1.3 million, affected 4.4 billion people, and caused almost $2 trillion in economic losses. (Source: Oxfam)

• The number of weather-related disasters reported has tripled in the last 30 years. (Source: Oxfam)

• An estimated 258,000 people died in Somalia from famine and food insecurity between late 2010 and early 2012. (Source: FAO)

• By the 2030s, large parts of Southern Africa and South and East Asia will be more exposed to droughts, floods and other hazards. Three hundred and twenty-five million people in extreme poverty will live in the most exposed areas. (Source: ODI)

• Small, local disasters often go unnoticed by donors and the media—but they account for a large proportion of disasters’ global impact: 54 percent of houses damaged, and 83 percent of people injured. (Source: Oxfam)

• Disasters from natural hazards hit poor countries far harder than richer ones. Eighty-one percent of disaster deaths are in low-income and lower-middle income countries, even though they account for only 33 percent of disasters. In 2010, the earthquake that struck Haiti, the poorest country in the Americas, killed 200 times as many people as an earthquake in Chile weeks later even though Chile’s earthquake was 500 times stronger.

• Vulnerability to disasters is enormously unequal. Less than 10 percent of workers in the least developed countries are covered by social security. In most industrial nations, it is almost 100 percent. Ninety-seven percent of people living on less than $4 per day have no insurance cover, and so are highly vulnerable to major risks or financial shocks.

• Disasters kill more women than men, especially in major calamities. Women accounted for 70–80 percent of those killed by the 2004 Indian Ocean tsunami. According to UNDP, women and children are 14 times more likely than men to die during a disaster. (Source: LSE and UNDP)

Humanitarian Action

• In the last decade, the number of people who need humanitarian aid and the cost of helping them has increased significantly. Funding requirements have more than doubled to over $10 billion per year. (Source: UNOCHA)

• During the last decade, international funding has consistently failed to meet one third of the humanitarian need outlined in UN appeals. (Source: Development Initiatives) At $4.7 billion, 2013 saw the largest shortfall since 2000 between the amount requested and the amount given. (Source: UN OCHA and Oxfam)

• Hardly any crises get the funds to fully meet their needs. But the amount given is extraordinarily unequal. For every $1 spent on a person affected by Haiti’s earthquake in 2010, 13 cents was spent on a person in need in South Sudan in 2013, 9 cents in

Sudan, 4 cents in the Central African Republic. (Source: Oxfam – see footnotes 1 to 4)

• The world spends nearly three times as much on ice cream as it does on humanitarian aid. In 2013, it spent $59 billion on ice cream and $22 billion on humanitarian aid. (Source: Market Research and The Guardian)

Statistics are needed in the humanitarian world. They represent the facts in a uniquely accurate and poignant manner. Will you get involved and help us see what´s really going on? If you need help getting there through further study or so you can get that NGO job, please let us know if we can help you out with some supporting documents. We´d love to aid you on your way!

Syria's horrifying statistics that define the conflict.

UN statistics show rise in number of refugees and casualties.