Shravan Vasishth

Professor, Dept. of Linguistics, University of Potsdam, 14476 Potsdam, Germany
Speaker, Language Cluster, Cognitive Science
Phone: +49-(0)331-977-2950 | Fax: - 2087 | Email: vasishth at
GPG public key, Orcid ID, google scholar, github, bitbucket, statistics blog, vasishth lab blog
Doing a PhD with me: README.1st
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Introduction to Statistical Data Analysis (Winter Semesters, MSc programs)

Introduction: What this course is about

This course provides an introduction to statistical methods for MSc Linguistics (MM5), EMCL, IECL, IDEALAB. Please see the PULS FAQs to find out how the sign-up system works (in German). IECL and EMCL students will have separate sign-up sheets; they do not have to sign up on PULS.
We will be using the software R, and RStudio, so make sure you install these on your computer. Topics to be covered:
  1. Very basic R usage, basic probability theory, random variables, including jointly distributed RVs, probability distributions, including bivariate distributions, Maximum Likelihood Estimation, sampling distribution of mean
  2. Null hypothesis significance testing, t-tests, confidence intervals, type I error, type II error, power, type M and type S errors
  3. An introduction to (generalized) linear models
  4. An introduction to linear mixed models
Times, location: At Golm campus, Potsdam: Mondays 10:15-11:45AM, II.10.026, (Haus 10, room 026).
Lecture notes: Coming soon.
Homework: See moodle site.
Grading: Details coming soon.
Previous year's exam: 2015.
Moodle website: All communications with students in Potsdam will be done through this website.


Lecture Topic Reading HW (always due one week later)
(1) Oct 15 Introduction (no formal lecture)
(2) Oct 22 Intro to R, Part I HW 1
(3) Oct 29 Intro to R, Part II HW 2
(4) Nov 5 Foundations HW 3
(5) Nov 12 The sampling distribution HW 4
(6) Nov 19 Type I, II error, Type M, S error HW 5
(7) Nov 26 Linear models I HW 6
(8) Dec 3 Linear models II HW 7
(9) Dec 10 Linear models III HW 8
(10) Dec 17 Linear mixed models I HW 9
(11) Jan 7 Linear mixed models II HW 10
(12) Jan 14 Linear mixed models III HW 11
(13) Jan 21 Revision
(14) Jan 28 Revision
(15) Feb 4 Revision