Syllabus and overview
This course is a hands-on introduction to fundamentals of quantitative/statistical methodology in linguistics. It is based on the second edition of my textbook Statistics for linguistics with R: a practical introduction (2013). We begin by looking at a few basic notions such as variables and hypotheses. We then discuss the logic of quantitative studies using the null-hypothesis falsification approach and familiarized ourselves with how to set up factorial experiments and how data from experiments and corpora should be set up for subsequent statistical evaluation. Then, we are concerned with a variety of descriptive graphs and statistics for frequency data, averages, dispersions, and correlations. The largest part is concerned with a variety of statistical tests: distribution fitting tests, tests for independence, and tests for differences for frequencies, means, dispersions, and correlations. We end with a small primer for the kind of multifactorial methods that are the subject of Ling 202. We use the open source software tool R 
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Downloads for class sessions
(files will be available as appropriate)
Navigator
(zipped) folder for all sessions
Additional files to be added to that folder per session:
Session 01: slides
Session 03: answer key
Session 04: answer key
Session 05: answer key
Session 06: answer key
Session 08: answer key
Session 09: answer key
Session 10: answer key
Assignments
You can download all assignments in one HTML file here
Links to relevant software