LING2135 – Introduction to Statistical Analysis for Language Students

Schedule, syllabus and examination date

Course content

This course introduces students to fundamentals of statistical analysis of linguistic data. Students will learn the basics of statistical modeling with an emphasis on the (generalized) linear model framework. They will learn both exploratory techniques (such as descriptive statistics and data visualization) and hypothesis testing techniques such as linear and logistic regression within the null hypothesis significance testing framework. The entire course will use the open source softwares R and Rstudio. Importantly, students will also learn how to do data analysis in a way that is open and reproducible.

This class requires no prior statistical, mathematical, or coding background, but the content of this class is expected to serve as a solid foundation for more advanced statistical courses.

Learning outcome

Students will learn how to:

? understand fundamentals of statistical analysis

? use the statistical software R

? prepare data tables for further analysis

? visualize data

? explore data

? test hypotheses within the null-hypothesis-significance testing framework

? critically evaluate statistical results from published papers

Admission to the course

Students who are admitted to study programmes at UiO must each semester register which courses and exams they wish to sign up for in Studentweb.

If you are not already enrolled as a student at UiO, please see our information about admission requirements and procedures.

No specific prerequisites. If students decide to use R, they are expected to bring their laptops to classes for doing exercises and make sure that they have current versions of R and R-Studio on their laptops. SPSS is installed on university computers.

Overlapping courses