Find some real-life data set or combination of related data sets that is of interest to you.

INSTRUCTIONS TO CANDIDATES

ANSWER ALL QUESTIONS

Find some real-life data set (or combination of related data sets) that is of interest to you. There are many good sources online (kaggle.com, data.gov, data.fivethirtyeight.com, for starters); just don't use any of the data sets we've been using in class.

The project consists of two components [with the corresponding grading percentage]:

[70%] Written Project Report: I'm expecting some thoroughness here. Your report should be well-organized and easy to read.

Part 1: For all variables of interest in the data set, you should start with some initial exploration: description of the variable in context, summary statistics, graphs, etc. Use this to give us (both you and me) an idea of what's going on in the data before diving directly into Part 2.

Part 2: You should develop some interesting research questions/hypotheses. For at least 3 different well-defined research questions, explain the question and why it is of interest for this data, explain the method you are using to answer the question (e.g. a paired t-test, ANOVA, regression, etc.), why that method is appropriate, the validity of any assumptions made in applying that method, the statistical results of the method, and an in-depth interpretation of what those results mean in your data's context. You should use at least 2 different methods (i.e. don't just do 3 one-sample t-tests and call it good).

[30%] Reproducible Code: Your code should be able to run and give me the exact same results as yours with minimal modification. If any modifications are needed (such as installation of different R packages or changing a filepath to a local directory), those should be outlined and well-commented at the beginning of the code. The remainder of the code should be relatively clean and readable with helpful comments. Make it as user-friendly as possible.

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