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:
-
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
- Null hypothesis significance testing,
t-tests,
confidence intervals, type I error,
type II error,
power,
type M and type S errors
- An introduction to (generalized) linear models
- 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.
Schedule
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 |
|
|