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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.

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.

I attend to my clients in the order in which I have received their payments.

All of the Statement samples on this web site were written more than 2 years ago and all are anonymous. 

Up to 1000 words: US$199 

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Master's Statement of Purpose Applied Statistics

The Applied Statistics Program at XXXX University is my first choice since XXXX is close to where I live and I would have the full support of my social network and support base. Thus, I would be able to take advantage of the fullest immersion experience possible, giving myself fully to Statistics 24/7/

Born and raised in China, numbers have stood at the center of my world since my childhood because Mathematics was always what I did best and still do. Since early adulthood, I have increasingly gravitated towards Applied Mathematics as a focus, especially everything having to do with Statistics. I could not be happier fully engaged in the magic world of using numbers and symbols to solve real world problems.

After I graduated from high school, my family moved to Canada, and I was able to complete my undergraduate studies in Statistics, Actuarial Science, and Mathematics at the University of XXXX. Thus, I have had the opportunity to build a solid foundation in Statistics, including Advanced Calculus, Ordinary Differential Equation, Probability, Data Analysis, Multivariate Analysis, Time Series, and Stochastic Methods, etc. I graduated from UT with honors and went on to work in the banking industry.

In my third year at UX, I completed an internship in the development of Marketing models at the Analytics Resourcing Center, and I dove in head into the fascinating world of Big Data. I conducted customer segmentation analysis with extremely large volumes and high dimension data, campaign analysis, and promotion design for retail chain stores using Machine Learning techniques. This experience opened up my horizons greatly with respect to advanced modeling techniques and also helped me understand how to abstract statistical models in accordance with business needs. After graduation, I worked as an Actuarial Analyst for the School Boards’ Co-operative Inc.

I mastered the Mixed Effect model while working on a one-year statistical collaboration project on reduction in neuron cell experiments during my last year at UX. I now appreciate how the Mixed Effect has enormous advantage over the General Linear Model. Furthermore, by applying a Gradient Decent approach, I was able to optimize the model for my purposes and I was delighted with the results and was left feely most inspired about possibilities for applications. I soon began to realize that I have a gift for statistical modeling in detail and nothing brings me greater joy. This is where my passion lies.

Currently, I work as a retail risk model developer in TD bank, using classical statistical models. Since this position requires documentation of how each statistical decision is made, I have a chance to investigate numerous details about each algorithm. The most exciting part of Statistics for me is the challenge of finding ways to harness the power of scientific data to accurately predict real-world phenomenon. I see Statistics as a science capable of overcoming all kinds of challenges in the quest to maximize the utility of information. I have experienced how advanced statistical techniques can resolve data challenges in industry.

I look forward to a long professional lifetime serving as a researcher in the statistical modeling industry, discovering and resolving statistical challenges. For my purposes, Statistics is a scientific tool which harnesses the power of numbers for solving real-world problems. My diverse work experience with multiple industries has enabled me to gain exposure to a broad variety of modeling methods including but not limited to the classical linear model, machine learning and stochastic process. I have wrestled with many different kinds of data challenges from hundreds of observations that do not fit any frequently used distribution to billions of observations in thousands of dimensions. I thrive on the challenge of finding scientific ways to making less intuitive data reflect and accurately predict real-world phenomena.

I have used multiple machine learning techniques in Python and R platforms; and observed the pros and cons of cases while comparing different modeling methods. I understand and appreciate how retail risk models are long-term, predictive power driven. Accuracy, explanatory power and conservatism are equally important. I fully understand how, within the range of linear models, scientific support for each decision is needed; coefficient analysis between triple or quadruple interactions must be conducted; and how the survival and loss model is often of great utility. Always inspired by and engaged with the latest research topics, reading myself to sleep almost every night, even under a full workload with constant pressure. I especially enjoy the quest to prove the usefulness of a methodology via statistical and mathematical methods.

Committed, enthusiastic, and dedicated to what I love, I was given to music in my early years, since I was trained to become a professional classical pianist and came close to that dream. Now, however, while I still play sometimes to destress, my music is entirely in my head, symbols, numbers, real-world dreams in big data. Most of what I play these days is Jazz, in which I am self-educated. This inspired me to begin a non-profit music media company when I was in my 2nd year of college. I am also an accomplish programmer in R, Python and SAS. I also think of programming as part of the music that I want to make in the future.

I thank you for your consideration of my application to Applied Statistics at XXXX University.

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