Universität Wien

040129 VO Statistics 1 (2018S)

6.00 ECTS (3.00 SWS), SPL 4 - Wirtschaftswissenschaften

Ausführliche Kursbeschreibung und Informationen zu Fragestunden und Tutorien auf Homepage

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

Fragestunde (Thomas Stark) findet statt: DO wtl von 08.03.2018 bis 28.06.2018 18.30-20.00 Ort: Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock

Details

Language: German

Examination dates

Lecturers

Classes (iCal) - next class is marked with N

  • Tuesday 06.03. 11:30 - 13:00 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Thursday 08.03. 08:00 - 13:00 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Tuesday 13.03. 11:30 - 13:00 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Thursday 15.03. 08:00 - 13:00 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Tuesday 20.03. 11:30 - 13:00 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Thursday 22.03. 08:00 - 13:00 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Tuesday 10.04. 11:30 - 13:00 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Thursday 12.04. 08:00 - 13:00 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Tuesday 17.04. 11:30 - 13:00 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Thursday 19.04. 08:00 - 13:00 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Tuesday 24.04. 11:30 - 13:00 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Thursday 26.04. 08:00 - 13:00 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß

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 exam (no aids are permitted)

Minimum requirements and assessment criteria

More than 50% of the questions must be answered correctly to pass the exam.

Examination topics

Lecture notes 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: Mo 07.09.2020 15:28