Entry requirements

Entry requirements are Statistics A 30 credits and Statistics B 30 credits, or alternatively Statistics A 30 credits, Statistics B 15 credits and course registration on the remaining courses of Statistics B (or equivalent).

Learning outcomes

After completing the course, a student is expected to:

* have obtained basic knowledge of the statistical theory that underlies multivariate statistical methods

* know and be able to apply general principles of inference with multivariate methods

* be able to assess if the conditions for multivariate statistical analysis are fulfilled

* be able to interpret results from a multivariate analysis

* have the ability to present, both in oral and written form, the results of multivariate statistical analyses

* have basic knowledge regarding performing multivariate analysis with the help of statistical software

Content

The course covers different multivariate methods, for example factor analysis and cluster analysis, and which questions that can be answered with those methods. The course contains both theoretical and practical elements.

Instruction

InstructionTeaching is given in the form of lectures, computer exercises and seminars.

Assessment

The examination takes place partly through a written examination at the end of the course and through presentation orally and in writing of one or more compulsory home assignments. If there are special reasons for doing so, an examiner may make an exception from the method of assessment indicated and allow a student to be assessed by another method. An example of special reasons might be a certificate regarding special pedagogical support from the University's disability coordinator.