122252 AR Linguistics Course (Advanced 1-5) - Appl. & TEFL / Historical & Descriptive (2014W)
Introduction to Statistics for Linguists
Continuous assessment of course work
Labels
Registration/Deregistration
Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).
- Registration is open from Mo 08.09.2014 00:00 to Fr 12.09.2014 18:00
- Registration is open from Tu 23.09.2014 00:00 to Th 25.09.2014 23:59
- Deregistration possible until Fr 31.10.2014 23:59
Details
max. 25 participants
Language: English
Lecturers
Classes
Fr 9.1., 18:00-20:00
Sa 10.1., 8:00-9:30
Fr 16.1., 18:00-20:00
Sa 17.1., 10:00-14:00
Fr 23.1., 18:00-20:00
Sa 24.1., 10:00-14:00
Fr 30.1., 18:00-20:00
Sa 31.1., 10:00-14:00
Information
Aims, contents and method of the course
This course provides an introduction to statistics with a particular focus on the analysis of linguistic data. It covers descriptive as well as univariate inferential statistics, i.e. measures of central tendency and variability, parameter estimation, null hypothesis significance testing (e.g. t-test, chi-squared-test, U-test,...), correlation, effect sizes and power analysis.The course is primarily based on Butler (1985), "Statistics for linguists". Since this is a Blocklehrveranstaltung, students are advised to read the first couple of chapters for the first session (for details see moodle).For calculating purposes, the statistical software package R together with the frontend RStudio will be used. Both are already installed on the PCs in the PC labs. Since most of the assignments will require calculations with R(Studio) it is required that the correct version of this software is installed on your own computer.No previous knowledge of statistics or statistical software is required but a solid knowledge of high school mathematics (at least Unterstufe) will prove useful.
Assessment and permitted materials
Four home assignments, participation in class and small exercises
Minimum requirements and assessment criteria
The ability to analyze, present and describe quantitative linguistic data as well as the ability to understand and interpret statistical analyses and relevant statistical parameters.
Examination topics
Lecture, hands-on excercises in class, discussions in class, group exercises, home assignments
Reading list
Butler (1985), "Statistics in linguistics" (for details see moodle platform)
Association in the course directory
Studium: UF 344, ME 812;
Code/Modul: UF 4.2.3-223-225, ME4, ME5;
Lehrinhalt: 12-0344
Code/Modul: UF 4.2.3-223-225, ME4, ME5;
Lehrinhalt: 12-0344
Last modified: Mo 07.09.2020 15:33