Universität Wien FIND

Return to Vienna for the summer semester of 2022. We are planning to hold courses mainly on site to enable the personal exchange between you, your teachers and fellow students. We have labelled digital and mixed courses in u:find accordingly.

Due to COVID-19, there might be changes at short notice (e.g. individual classes in a digital format). Obtain information about the current status on u:find and check your e-mails regularly.

Please read the information on https://studieren.univie.ac.at/en/info.

330098 VO Introduction to Biostatistics (2009S)

Details

max. 500 participants
Language: German

Lecturers

Classes (iCal) - next class is marked with N

Wednesday 11.03. 16:15 - 18:30 UZA2 Hörsaal 7 (Raum 2Z210) 2.OG
UZA2 Hörsaal 8 (Raum 2Z206) 2.OG
Wednesday 25.03. 16:15 - 18:30 UZA2 Hörsaal 7 (Raum 2Z210) 2.OG
UZA2 Hörsaal 8 (Raum 2Z206) 2.OG
Wednesday 01.04. 16:15 - 18:30 UZA2 Hörsaal 7 (Raum 2Z210) 2.OG
UZA2 Hörsaal 8 (Raum 2Z206) 2.OG
Wednesday 22.04. 16:15 - 18:30 UZA2 Hörsaal 7 (Raum 2Z210) 2.OG
UZA2 Hörsaal 8 (Raum 2Z206) 2.OG
Wednesday 29.04. 16:15 - 18:30 UZA2 Hörsaal 7 (Raum 2Z210) 2.OG
UZA2 Hörsaal 8 (Raum 2Z206) 2.OG
Wednesday 06.05. 16:15 - 18:30 UZA2 Hörsaal 7 (Raum 2Z210) 2.OG
UZA2 Hörsaal 8 (Raum 2Z206) 2.OG
Wednesday 13.05. 16:15 - 18:30 UZA2 Hörsaal 7 (Raum 2Z210) 2.OG
UZA2 Hörsaal 8 (Raum 2Z206) 2.OG
Wednesday 20.05. 16:15 - 18:30 UZA2 Hörsaal 7 (Raum 2Z210) 2.OG
UZA2 Hörsaal 8 (Raum 2Z206) 2.OG
Wednesday 27.05. 16:15 - 18:30 UZA2 Hörsaal 7 (Raum 2Z210) 2.OG
UZA2 Hörsaal 8 (Raum 2Z206) 2.OG
Wednesday 03.06. 16:15 - 18:30 UZA2 Hörsaal 7 (Raum 2Z210) 2.OG
UZA2 Hörsaal 8 (Raum 2Z206) 2.OG
Wednesday 10.06. 16:15 - 18:30 UZA2 Hörsaal 7 (Raum 2Z210) 2.OG
UZA2 Hörsaal 8 (Raum 2Z206) 2.OG
Wednesday 17.06. 16:15 - 18:30 UZA2 Hörsaal 7 (Raum 2Z210) 2.OG
UZA2 Hörsaal 8 (Raum 2Z206) 2.OG
Wednesday 24.06. 16:15 - 18:30 UZA2 Hörsaal 7 (Raum 2Z210) 2.OG
UZA2 Hörsaal 8 (Raum 2Z206) 2.OG

Information

Aims, contents and method of the course

Introductory statistics course with examples taken from nutrition science: exploratory data analysis, basic probability, estimation and hypothesis testing, simple regression, experimental design

Assessment and permitted materials

written exam

Minimum requirements and assessment criteria

familiarity with basic statistical methods and statistical thinking, ability to interpret statistical results, learn about common misconceptions and errors when applying statistical methods

Examination topics

Lecture with exercise sessions

Reading list

Statistics by David Freedman, Robert Pisani, and Roger Purves (2007)

Statistics for Research (Wiley Series in Probability and Statistics) by Shirley Dowdy,
Stanley Wearden, and Daniel Chilko (2004)

Biostatistik von Matthias Rudolf und Wiltrud Kuhlisch (2007)

Brannath/Futschik: Statistik für Wirtschaftswissenschaftler, UTB Vlg. 2001

Association in the course directory

Last modified: Sa 02.04.2022 00:27