PLS0067 Statistical methods - an overview, 4.5 Credits
Subjects Mathematic Statistics
No Level Indicated
Pass / Failed
The requirements for attaining different grades are described in the course assessment criteria which are contained in a supplement to the course syllabus. Current information on assessment criteria shall be made available at the start of the course.
A basic course in statistics is required. The course is primarily for students at the PhD level who already have collected some data in their research project.
The aim of the course is that the student becomes better at handling and analyzing quantitative data using different statistical methods. After the course the student is expected to be more confident about which methods are appropriate for hers/his research and how to apply these.
The course is built on lectures and computer exercises with assignments. The main topics are:
- Design of experiments.
- Analysis of variance.
- Generalized linear models.
- Non-parametric methods.
- Multivariate statistical methods.
The content of the final project in the course depends on what specific methods and type of data the participants have in their research project.
Formats and requirements for examination
Approved assignments during the course and written paper and oral presentation related to the students’ research project.
The course is given during January-February in Alnarp.
The total time for the course is approximatetly 120 h.
Apply for course
Department of Biosystems and Technology