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The final project will be an analysis with R that answers a specific scientific/business question provided by the course team. A large and complex data set will be provided to students and the analysis will require the application of a variety of methods and techniques introduced in previous courses, including exploratory data analysis through data visualization and numerical summaries, statistical inference and models, as well as interpretations of these results in the context of the data and the research question. The analysis will implement frequentist and Bayesian techniques and discuss in the context of the data how these two approaches are similar and different, and what these differences mean for the conclusions that can be drawn from the data.
A sample of final projects will be featured on the Duke Statistical Science Department website. Note: Only students who have passed the previous four courses in the major are eligible to take the Capstone.
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