Stat 203 2019F Course Materials

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First Assignment (with writing component)

Lab 1: Due in class Thursday, September 5, 2019. For this assignment, you are going to write a proposal (letter of intent, actually) to a hypothetical funding agency that gives grants for undergraduate research. Writing a grant proposal can be a huge undertaking involving an intense effort over a number of weeks. However, sometimes a grant making institution will first ask for a letter of intent, often less than a page, to weed out potential applicants, and save a lot of effort. Successful applicants at this stage will be invited to prepare a longer proposal. A letter of intent can take less than an afternoon to write, and I don't expect this assignment will take much longer.

It is important that a letter of intent be presented in a professional manner. It should be formatted as a letter, and have proper grammar and spelling. Before submitting such a letter you would want to have a classmate or friend look over your document. I suggest the same, here, especially if English is not your first language. The creative content of the letter should be each student's own for this assignment (it is OK to talk to others though).

To complete this assignment:

  • Choose a topic from the list below, or choose your own topic. Try to find data on that topic. Try "Google Dataset Search" and Kaggle.Com. If you can't find data on your topic, choose another topic.
  • You want your data set to be in "structured" format, as a spreadsheet is with rows and columns. Some data on the web is locked down within interactive visualizations---you cannot get the data in rows and columns but you can run queries and display graphs. This type of data set is not suitable for research purposes.

Now write the letter of intent, and briefly explain:

  • Why you are interested in the topic.
  • What data are contained in the data set you have chosen.

Suggested topics for data search: (actually, whatever interests you): sports (of various kinds, there are lots of free good data on baseball), entertainment, movies (again good data), law, criminology, government, city planning, architecture, weather, climate, geology, seismology, medicine, epidemiology, health, fitness, biology, evolution, extinction, ecology, math, computer science, statistics, data science, anthropology, ethnic studies, gender studies, history, sociology, culture, tourism, archeology, art, literature, writing, journalism, census, linguistics, finance, economics, business, astronomy, physics, chemistry, library sciences, theology, anything else you can think of.

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