Stefan Th. Gries 
Ling 104: Statistical Methods in Linguistics (Winter 2022)
Syllabus and overview 
This course is a handson introduction to fundamentals of quantitative/statistical methodology in linguistics. It is based on the third edition of my textbook Statistics for linguistics with R: a practical introduction (2021), which also forms the basis for Ling 105 next quarter! We begin by looking at a few basic notions such as variables and hypotheses. We then discuss the logic of quantitative studies using the nullhypothesis falsification approach 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 elementary aspects of correlation/regression. We end with a small primer for the kind of multifactorial regression and treebased methods that are the subject of Ling 105. We use the open source software tool R . 





