Instructions for Data Analysis Project You've learned lots about doing statistical analyses. It's time to work without a net Due Dates Project Proposal due date: February 21 or any time before Spring Break.

Due Dates Project Proposal due date: February 21 or any time before Spring Break. Completed project due date: April 19, presented at poster sessions in lab sections. General Description For the data analysis project, you address some questions that interest you with the statistical methodology we learn in Statistics You choose the question; you decide how to collect data; you do the analyses.

The questions can address almost any topic although I have veto powerincluding topics in economics, psychology, sociology, natural science, medicine, public policy, sports, law, etc.

The project requires you to synthesize all the material from the course. Plus, you get answers to issues that pique your intellectual curiosity.

Larger or smaller groups must be granted special permission from the instructor. You can work with people in different lab sections than yours. Your project will be presented in a poster session during the last week of lab sections.

In a poster session, each groufinap makes visual materials that explain the project. Then, people wander around looking at the posters and talking to the presenters, thereby learning about the various projects. Poster sessions are extremely common at professional conferences in many disciplines, including statistics.

In our poster session, some members of each group are stationed at the poster to answer questions, while the others wander around to examine the projects.

The poster-sitters and wanderers switch off after the wanderers have examined all the posters. There is no formal write-up of your project, i. The poster is handed in and graded. Your presentations factor in to the grade. You should get started on the project as early as possible, particularly in thinking about procuring data and collecting background information.

Keep in mind that by the end of lectures, you will have learned many statistical techniques, such as hypothesis testing, confidence intervals, and regression. These techniques will help you address your question of interest.

Some ideas for projects The most important aspects of any statistical analysis are stating questions and collecting data. Hence, to get the full experience of running your own study, the project requires you to analyze data that you collect. It is not permissible to use data sets that have been put together by others.

You are permitted to collect data off of the web; however, you must be the one who decides on the analyses and puts the data set together. Good projects begin with very clear and well-defined hypotheses.

You should think of questions that interest you first, then worry about how to collect and analyze data to address those questions.

Generally, vague topics lead to uninteresting projects. On the other hand, it would be interesting to hypothesize why men or women study more, and then figure out how to collect and analyze data to test your hypotheses.

Below is a list of some successful project topics that have been done by past statistics students. Instead, consider the list a tool for generating ideas.

Are men more likely than women to help someone who has dropped his or her books? Does the sex of the book dropper matter? Does having the pictures on puzzle pieces shorten the time to complete the puzzle relative to not having the pictures?Final Report: Statistical Modeling and Analysis Results for the Topsoil Lead Contamination Study (Quemetco Project) Submitted to: Prof.

Shoumo Mitra. The R Project for Statistical Computing Getting Started. R is a free software environment for statistical computing and graphics. It compiles and runs on a wide variety of UNIX platforms, Windows and MacOS. Completed project due date: April 19, presented at poster sessions in lab sections.

General Description For the data analysis project, you address some questions that interest you with the statistical methodology we learn in Statistics The R Project for Statistical Computing Getting Started. R is a free software environment for statistical computing and graphics. It compiles and runs on a wide variety of UNIX platforms, Windows and MacOS.

Here is a really simple analysis done by Rafa. But it doesn’t take into account things like defense. But it doesn’t take into account things like defense. If you want to take on this project, you should take a look at this Denis Rodman analysis which is the gold standard.

Jan 21, · What interesting topic should I choose for a statistics project? Update Cancel. ad by Reltio. What are some interesting topics on statistical projects? I have a statistics project, and I am crowd sourcing topic ideas.

Help? What interesting topics should I choose for a statistics project that are useful to farmers?

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Statistics Project