051130 VO Introductory Statistics (2019W)
Labels
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).
Details
Language: German
Examination dates
- Saturday 01.02.2020 09:45 - 11:00 Hörsaal I NIG Erdgeschoß
- Tuesday 16.06.2020 09:00 - 10:30 Hörsaal 21 Hauptgebäude, Hochparterre, Stiege 8
- Tuesday 01.09.2020 10:00 - 11:30 Hörsaal 1, Währinger Straße 29 1.UG
- Tuesday 22.09.2020 09:30 - 11:00 Hörsaal 1, Währinger Straße 29 1.UG
Lecturers
Classes (iCal) - next class is marked with N
- Monday 07.10. 18:30 - 21:00 Hörsaal 1, Währinger Straße 29 1.UG
- Monday 14.10. 18:30 - 21:00 Hörsaal 1, Währinger Straße 29 1.UG
- Monday 21.10. 18:30 - 21:00 Hörsaal 1, Währinger Straße 29 1.UG
- Monday 28.10. 18:30 - 21:00 Hörsaal 1, Währinger Straße 29 1.UG
- Monday 04.11. 18:30 - 21:00 Hörsaal 1, Währinger Straße 29 1.UG
- Monday 11.11. 18:30 - 21:00 Hörsaal 1, Währinger Straße 29 1.UG
- Monday 18.11. 18:30 - 21:00 Hörsaal 1, Währinger Straße 29 1.UG
- Monday 25.11. 18:30 - 21:00 Hörsaal 1, Währinger Straße 29 1.UG
- Monday 02.12. 18:30 - 21:00 Hörsaal 1, Währinger Straße 29 1.UG
- Monday 09.12. 18:30 - 21:00 Hörsaal 1, Währinger Straße 29 1.UG
- Monday 16.12. 18:30 - 21:00 Hörsaal 1, Währinger Straße 29 1.UG
- Monday 13.01. 18:30 - 21:00 Hörsaal 1, Währinger Straße 29 1.UG
- Monday 20.01. 18:30 - 21:00 Hörsaal 1, Währinger Straße 29 1.UG
- Monday 27.01. 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
> 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: Th 17.09.2020 10:48