300322 VU Biological Data: introduction to statistics and SPSS (2016W)
Continuous assessment of course work
Labels
Equivalent to 300020 UE Applied Statistics for Anthropologists
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).
- Registration is open from We 07.09.2016 08:00 to Th 22.09.2016 18:00
- Deregistration possible until Mo 31.10.2016 18:00
Details
max. 28 participants
Language: German
Lecturers
Classes (iCal) - next class is marked with N
There will be a theoretical and a practical part of the course. Each will be given weekly. The practical part will be on Mondays from 15:30 until 17:45, the theoretical part will be on Fridays 3 p.m. to 6 p.m. The first meeting will be on October 3rd at 3:30 p.m. It is possible to take the course 300006 VU Statistical analysis in practice: from raw data to presentation in the same term.
Monday
03.10.
15:30 - 17:45
EDV-Raum 2 Ökologie
Monday
10.10.
15:30 - 17:45
EDV-Raum 2 Ökologie
Monday
17.10.
15:30 - 17:45
EDV-Raum 2 Ökologie
Monday
24.10.
15:30 - 17:45
EDV-Raum 2 Ökologie
Monday
31.10.
15:30 - 17:45
EDV-Raum 2 Ökologie
Monday
07.11.
15:30 - 17:45
EDV-Raum 2 Ökologie
Monday
14.11.
15:30 - 17:45
EDV-Raum 2 Ökologie
Monday
21.11.
15:30 - 17:45
EDV-Raum 2 Ökologie
Monday
28.11.
15:30 - 17:45
EDV-Raum 2 Ökologie
Monday
05.12.
15:30 - 17:45
EDV-Raum 2 Ökologie
Monday
12.12.
15:30 - 17:45
EDV-Raum 2 Ökologie
Monday
09.01.
15:30 - 17:45
EDV-Raum 2 Ökologie
Monday
16.01.
15:30 - 17:45
EDV-Raum 2 Ökologie
Monday
23.01.
15:30 - 17:45
EDV-Raum 2 Ökologie
Monday
30.01.
15:30 - 17:45
EDV-Raum 2 Ökologie
Information
Aims, contents and method of the course
Assessment and permitted materials
Attendance, oral presentation, active participation and homework (open book), final papers (theoretical part: open book, practice: decision tree)
Minimum requirements and assessment criteria
The following criteria have to be met in order to pass this course:
Regular attendance (at least 80% in both parts of the course), handing in both final papers,
at least 51 credit points. In total, 100 points can be obtained:
Theory (50 points):
Oral presentation (15 points)
Active participation and homework (15 points)
Final paper (20 points)
Practice -- SPSS (50 points):
Homework (20 points)
Final paper (30 points)
Regular attendance (at least 80% in both parts of the course), handing in both final papers,
at least 51 credit points. In total, 100 points can be obtained:
Theory (50 points):
Oral presentation (15 points)
Active participation and homework (15 points)
Final paper (20 points)
Practice -- SPSS (50 points):
Homework (20 points)
Final paper (30 points)
Examination topics
Each topic is introduced by the lecturers. Demonstrations on the blackboard and in the specific software will support the talk. Examples will be discussed with the students and where possible also practiced in hands-on training during the practicum. Additional literature will be provided via handouts and the elearning-platform. To study each topic in more detail, there will be small written homework to be completed within the following week. Results and questions will then be discussed in class.
Reading list
Further sources will be provided on Moodle (elearning platform).
Association in the course directory
BAN 5, B-BAN 5
Last modified: Sa 22.10.2022 00:30
Among others, the following topics will be included.
-- Use and abuse of statistics
-- Handling of the data: designing a data file, quality assurance
-- Descriptive statistics
-- When to use which significance test?
-- Prerequisites, application and interpretation of commonly used significance tests
-- Tables and figures (what, how, when, where)
-- Verbal description of the computed results
-- Acquiring statistics autonomously (with instructions)