(1) Describe an interesting applied statistics problem that you have worked on.
The project I am currently working on -- Empire State Pool is an interesting applied statistics project.
The Empire State Poll (ESP) is the first of its kind annual general survey of adults, age 18 and over, who are residents of New York State. The Empire State Poll is conducted by the Cornell University’s Survey
Research Institute in the spring of each year. The first ESP was conducted in 2003.
The objective is to identify and characterize the changing attitudes and concerns of the New
York state residents over the past 13 years.
I expect to explore the data further based on demographic variables, e.g. downstate/upstate, gender, race, age, household income,
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B. What practical concerns were there for dealing with the data: did you know how it was collected?, were there dirty data problems?, was there sampling bias?, etc.
All ESP surveys are conducted using a Computer Assisted Telephone Interviewing (CATI) software system.
The survey sample consists of a randomly selected households within New York State splitting between Upstate and Downstate residents. The sample selection procedures ensure that every household within New York State has an equal chance to be included in the survey. The sample cause the overall ESP results to vary by more than 3.5 percentage points from the answers that would be obtained if all New York state residents were interviewed.
Some issues of the data is some questions (variables of dataset) of the questionnaire are not quantitative and the data has amount of missing data.
C. How did you choose the methodology for the problem? (i.e was it industry standard?, was it tailored for this data?, etc.)
Since some data is not quantitative, I have to code the data into categorical data and do some regression analysis to see what impact households income, or conduct logistic regression to check is the family better off in the President Obama’s term compare to President Bush’s
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I am familiar to use SAS, R, Python, Excel (VBA, PivotTable), Tableau to analyze and visualize the data.
I have the SAS Certified Advanced Programmer for SAS 9 Credential
(4) What would you consider to be your quantitative expertise and interest? (i.e. data mining, machine learning, time series analysis, experiment design, operations research etc.)
I am extremely interested in data mining and machine learning. I have done one project which applied supervised and unsupervised learning algorithms such as Best Subset Selection, Random Forest, Lasso and Ridge Regression, Dimension Reduction to do model selection and perform accurate predictive performance. Also I am currently taking “Machine Learning for Data Science” class this semester at Cornell and will have two project post on Kaggle by the end of semester.
(5) Please list your top 5 technical skills (programming languages, etc.) and rate each one as basic, intermediate or advanced.
R - Advanced
SAS - Advanced
SQL - Advanced
Python - Intermediate
Hadoop - Basic
(6) Which of Google 's products do you find most interesting (please be brief)?
Gmail - Spam
The New York colony soil was fertile and great for farming which was the reason the British wanted to remove it from the hands of the Dutch. New York was named after James the Duke of York. The Dutch were the first to settle in New York but then was preccoupied by the English in 1674. When the Dutch occupied New York they called it New Amsterdam.
Measurement issues. Data, even numerically coded variables, can be one of 4 levels - nominal, ordinal, interval, or ratio. It is important to identify which level a variable is, as this impact the kind of analysis we can do with the data. For example, descriptive statistics such as means can only be done on interval or ratio level data. Please list under each label, the variables in our data set that belong in each group.
1. What demographic variables were measured at the nominal level of measurement in the Oh et al. (2014) study? Provide a rationale for your answer.
• Read Section 25-1 in Pearson Red. Take notes as necessary • Answer Section Assessment Questions #2, 4-6 2. How did U.S. leaders respond to the threat of Soviet expansion in Europe? The United States responded to the threat of Soviet expansion in Europe by aiding nations, creating NATO, the Berlin Airlift in response to their stand against communism and opened a policy of containment.
Through democratic and undemocratic features in colonial America, democracy was a work in progress. On the following essay, The following will to prove that the Americans of the past had a democratic government, but they had to work hard to make it equal for all. 3 documents tell about the features of American government. The first detail of a democratic feature is a Regular, Free, and Fair election.
Many quizzes can be found to decipher political identity like Pew Research Center’s Political Typology Quiz, PBS Newshour’s The Political Party Test, and the I Side With Presidential Candidates quiz found on isidewith.com. Some may have entered into the quizzes with their political identity already deciphered or with no idea what the result would be. However, some like I may have had an inclination towards one view, but not realizing just how much or little they fit into its category. The quizzes taken asked questions in which one’s answers were then taken and analyzed to place them in a certain political category. In most quizzes, once that political identity is deciphered it is explained and elaborated on so that the reader knows in detail
Statistics is used in a variety of ways in today’s society from calculating your insurance premium, what will happen in the stock market, who will win in the next Super Bowl, the outcome of the next political campaign, and other numerous events that occur in one’s life. Not many people realize how much these events skulp their life. In The Drunkard’s Walk: How Randomness Rules Our Life, Leonard Mlodinow discusses how chance, probability, and randomness reveal an astounding amount in our daily lives, and how we happen to misinterpret the significance of these events. Mlodinow informs you on those who fathered methods in some of the basic principles of probability, and how they happen to bring them about.
Dear admission officers, I believe that the University of Waterloo is the perfect place for me to pursue a bachelor degree in biomedical engineering. Having a strong passion for science, biomedical engineering is such an amazing program that will both allow me to further explore the profoundness in all three sciences, as well as applying them to the real world and making a difference in the global community. Waterloo’s outstanding co-op system will even advance me into the career of engineering and prepare me for the future challenges. In addition, Waterloo’s excellent courses, professors, students and its exciting student life also build up the reputation of Waterloo that attracts me to become a member of this brilliant community. All in all,
Therefore, the author should provide evidence on the past track record of the agency. Also, the data on the manner in which poll was conducted needs to provided like type of questions asked, manner in which questions were framed etc. All these factors have a considerable impact on the polling
For example, if the easily available respondents are all hippies, then it will not produce good data to study. 5. Standard error is 0.07 or 7%. 52% women. Let x be the unknown 0.07 =
Google is a worldwide, leading online search engine and become an integrated part of most people's lives, and businesses now depend on Google for effective advertising, where thousands of advertisers
I enrolled myself in Data Analytics with Excel online course on Springboard and started learning R program on Datacamp.com. Every week, I dedicated 15 hours of my time on both courses simultaneously. After recently completing my Data Analytics course on Excel, I started to seek out for more formal educational program in Data Science. Upon several online research and reaching out to Admission assistant, I became assured that the Data Science Certification Program at Indiana University Bloomington is the best fit for me. What attracts me to this program is the flexible online option with the same quality of rigorous course work as Master’s program and the opportunity to transition to full time Master’s student in future.
My interests lies in the fields of Artificial Intelligence, Machine learning and Data Mining and use these disciplines to contribute in the fields of science and business. The learning climate at University will teach me to think radically, boost my confidence and broaden my perspective. The Master’s program in Computer Science at the sound academic environment will help me achieve my true potential. It is therefore, just the right place that will prepare me with exceptional academic and professional skills and enhance my personal growth.
Statistical analysis is not appropriate when non-random sampling methods are used. The first
I also had the opportunity to work with statistical tools, such as Stata and R, as part of my ‘Learning from Quantitative Data’ and ‘Statistical Data and Analysis’ modules. The subject ‘Sample Surveys and Experiments’ required me to collect and work with real data to produce a comprehensive report on my findings. These modules gave me the qualitative and quantitative skills required to critically analyse research findings, which will be useful for the Research Methods unit and the