Universität Wien

040129 VO Statistics 1 (2021S)

6.00 ECTS (3.00 SWS), SPL 4 - Wirtschaftswissenschaften
REMOTE

Ausführliche Kursbeschreibung auf Homepage

http://homepage.univie.ac.at/erhard.reschenhofer/

Die Fragestunden (Tutorium) von Anja Bohatschek (anja.bohatschek@univie.ac.at) und Johanna Fritz (johanna.fritz@univie.ac.at) werden digital online in einem Moodle-Kurs angeboten.
Termine: Montag, 18:30-20:00 und Dienstag, 08:00 - 09:30
Sie können sich unter dem Link: https://moodle.univie.ac.at/course/view.php?id=211269 selbst einschreiben und teilnehmen.

Moodle

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).
Register/Deregister for this course

Details

Language: German

Examination dates

Lecturers

Classes (iCal) - next class is marked with N

  • Tuesday 02.03. 15:00 - 16:30 Digital
  • Thursday 04.03. 15:00 - 16:30 Digital
  • Tuesday 09.03. 15:00 - 16:30 Digital
  • Thursday 11.03. 15:00 - 16:30 Digital
  • Tuesday 16.03. 15:00 - 16:30 Digital
  • Thursday 18.03. 15:00 - 16:30 Digital
  • Tuesday 23.03. 15:00 - 16:30 Digital
  • Thursday 25.03. 15:00 - 16:30 Digital
  • Tuesday 13.04. 15:00 - 16:30 Digital
  • Thursday 15.04. 15:00 - 16:30 Digital
  • Tuesday 20.04. 15:00 - 16:30 Digital
  • Thursday 22.04. 15:00 - 16:30 Digital

Information

Aims, contents and method of the course

Objective:
To introduce students to statistics

Topics include:
Logic and set theory, events and their probabilities, discrete random variables, continuous random variables, Central Limit Theorem, estimation, testing, linear regression, statistical software R

On successful completion of the course, students should be able to:
Calculate probabilities and conditional probabilities, work with random variables and distribution functions, apply the Central Limit Theorem, find the bias and mean square error of estimators, test statistical hypotheses, analyze data using linear models, display data using graphical methods

Teaching and learning methods:
Lectures

Assessment and permitted materials

Written digital exam (Moodle)

Minimum requirements and assessment criteria

At least 50% of the questions must be answered correctly to pass the exam.

Examination topics

Lecture notes and many practice tests on homepage

Reading list

R. J. Larsen and M. L. Marx: Introduction to Mathematical Statistics and its Applications. Pearson Prentice Hall

Association in the course directory

Last modified: Fr 12.05.2023 00:12