Universität Wien

300006 VU Statistical analysis in practice: from raw data to presentation (2016W)

3.00 ECTS (2.00 SWS), SPL 30 - Biologie
Continuous assessment of course work

Attendance required.
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).

Details

max. 60 participants
Language: German

Lecturers

Classes (iCal) - next class is marked with N

The exact dates remain to be determined. It is planned to have six dates for the course and an additional one for the final tasks. The first regular course will be immediately after the preparatory meeting on October 7.
IMPORTANT: MEETING ON FRIDAY OCT 7, 2 .p.m. LARGE SEMINARROOM ANTHROPOLOGY (UZA 1, Room 2.001)

  • Friday 07.10. 14:00 - 17:00 EDV-Raum 2 Ökologie
  • Friday 14.10. 14:00 - 17:00 EDV-Raum 2 Ökologie
  • Friday 21.10. 14:00 - 17:00 EDV-Raum 2 Ökologie
  • Friday 28.10. 14:00 - 17:00 EDV-Raum 2 Ökologie
  • Friday 04.11. 14:00 - 17:00 EDV-Raum 2 Ökologie
  • Friday 11.11. 14:00 - 17:00 EDV-Raum 2 Ökologie
  • Friday 18.11. 14:00 - 17:00 EDV-Raum 2 Ökologie
  • Friday 25.11. 14:00 - 17:00 EDV-Raum 2 Ökologie
  • Friday 02.12. 14:00 - 17:00 EDV-Raum 2 Ökologie
  • Friday 09.12. 14:00 - 17:00 EDV-Raum 2 Ökologie
  • Friday 16.12. 14:00 - 17:00 EDV-Raum 2 Ökologie
  • Friday 13.01. 14:00 - 17:00 EDV-Raum 2 Ökologie
  • Friday 20.01. 14:00 - 17:00 EDV-Raum 2 Ökologie
  • Friday 27.01. 14:00 - 17:00 EDV-Raum 2 Ökologie

Information

Aims, contents and method of the course

This course deals with the organization, analysis, interpretation and presentation of data. It gives an overview of basic statistic techniques, which will be practised in course. The focus in terms of software is on SPSS, however, other programs will be mentioned. The course shall lead to a better understanding which methods should be used when (and why). The analyses can be applied and interpreted correctly.

Assessment and permitted materials

Requirements for the course: regular attendance + oral (discussions, answering questions in class) + short written homeworks + practical final test. Homework (open book), final test (decision tree).

Minimum requirements and assessment criteria

It is necessary to have at least 51 points (out of 100) to pass the course: attendance and participation in class 10 points, home work 40 points, practical final test 50 points.

Examination topics

Short lectures will give an overview. There will software demonstrations. Examples will be discussed with the students and practiced in hands-on training. There will be small written homework to be completed within the following week. Results and questions will then be discussed in class.

Reading list

Literature will be provided in the form of handouts and via the elearning plattform Moodle.

Association in the course directory

BAN 5, B-BAN 5

Last modified: Sa 22.10.2022 00:29