PLS0067, Statistical methods - an overview, 4.5 Hp
Print syllabus

Syllabus

Level

Third cycle

Subject

Mathematical Statistics

Grading Scale

The grade requirements within the course grading system are set out in specific criteria. These criteria must be available by the course start at the latest.

Course language

English

Entry Requirements

Objectives

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.

Content

The course is built on lectures and computer exercises with assignments. The main topics are:

• Design of experiments.
• Analysis of variance.
• Regression.
• 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.

Examination Formats and Requirements for Passing the Course

Approved assignments during the course and written paper and oral presentation related to the students’ research project.

Responsible Department/Equivalent

Department of Biosystems and Technology

Supplementary information

Other Information

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.