Universität Wien
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051130 VO Introductory Statistics (2022W)

3.00 ECTS (3.00 SWS), SPL 5 - Informatik und Wirtschaftsinformatik
Moodle

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Details

Language: German

Examination dates

Lecturers

Classes (iCal) - next class is marked with N

  • Monday 03.10. 18:30 - 21:00 Hörsaal 1, Währinger Straße 29 1.UG
  • Monday 10.10. 18:30 - 21:00 Hörsaal 1, Währinger Straße 29 1.UG
  • Monday 17.10. 18:30 - 21:00 Hörsaal 1, Währinger Straße 29 1.UG
  • Monday 24.10. 18:30 - 21:00 Hörsaal 1, Währinger Straße 29 1.UG
  • Monday 31.10. 18:30 - 21:00 Hörsaal 1, Währinger Straße 29 1.UG
  • Monday 07.11. 18:30 - 21:00 Hörsaal 1, Währinger Straße 29 1.UG
  • Monday 14.11. 18:30 - 21:00 Hörsaal 1, Währinger Straße 29 1.UG
  • Monday 21.11. 18:30 - 21:00 Hörsaal 1, Währinger Straße 29 1.UG
  • Monday 28.11. 18:30 - 21:00 Hörsaal 1, Währinger Straße 29 1.UG
  • Monday 05.12. 18:30 - 21:00 Hörsaal 1, Währinger Straße 29 1.UG
  • Monday 12.12. 18:30 - 21:00 Hörsaal 1, Währinger Straße 29 1.UG
  • Monday 09.01. 18:30 - 21:00 Hörsaal 1, Währinger Straße 29 1.UG
  • Monday 16.01. 18:30 - 21:00 Hörsaal 1, Währinger Straße 29 1.UG
  • Monday 23.01. 18:30 - 21:00 Hörsaal 1, Währinger Straße 29 1.UG

Information

Aims, contents and method of the course

Students have basic competences in descriptive and inferential statistics

Assessment and permitted materials

written exam

Minimum requirements and assessment criteria

50% of points in written exam

Examination topics

Basic curriculum of introductory statistics
> descriptive statistics
> probability theory
> Inference statistics
- estimation
- hypotheses testing
> Regression & Correlation
> Analysis of Variance

Reading list

Statistics & Data with R: An Applied Approach Through Examples. Y. Cohen & J Y. Cohen, Wiley 2008.

Introductory Statistics with R. P.Dalgaard, Springer 2002.

Discovering Statistics Using R. A.Field, J. Miles, and Z. Field, Sage 2014.

Statistical Data Analytics. W.Piegorsch, Wiley 2015.

Association in the course directory

Module: DAS EST UF-INF-12

Last modified: Mo 08.05.2023 15:07