LING 1810 - STATISTICS FOR RESEARCH IN LINGUISTICS

Minimum Credits: 3
Maximum Credits: 3
The first goal of this course is to familiarize students with the major statistical tests, analysis strategies, and plotting conventions that are currently considered best practices in linguistics. The course accomplish these goals through a combination of reading (both of textbook chapters and empirical articles), in-class demos and hands-on practice, and homework exercises. The second goal is to make students comfortable using the R programming language for statistical computing. Assuming absolutely no prior background in statistics or programming, we will work from the ground up to turn you into a novice but proficient statistical programmer; by the end of this course, you will be able to read in your own data, perform basic data re-formatting and summary calculations, and conduct a wide variety of statistical analyses' all in R! The final goal is to get students thinking about how they can apply their new skills to their own research. In service of this goal, you will be required to write a short research paper that describes a data set you would like to work with, and that explains the statistical analyses you would perform in order to answer a small number of questions that are of interest to you.
Academic Career: Undergraduate
Course Component: Lecture
Grade Component: LG/SNC Elective Basis

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