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INTLPOL 301A: Research Methods and Policy Applications I

The first quarter will cover the fundamentals of probability theory and statistics that students need in order to read, critically evaluate, and undertake policy-relevant quantitative research. Topics covered include random variables, probability distributions and their moments, inference, estimation, hypothesis testing, statistical power, and ordinary least squares regression. We will devote substantial time to "learning by doing" using statistics software. Students will use the R programming language to learn the basics of programming, generate data, manipulate real-world datasets, and demonstrate/visualize theoretical concepts in statistics and mathematics. We will present examples of real-world research and students will evaluate and demonstrate the extent to which it matches up with concepts covered in lecture.
Terms: Aut | Units: 5
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