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Applied Statistical Methods – Part II
(Tillämpade statistiska metoder – del II)

Number of credits: 3 hp

Examiner: Martin Singull

Course literature: Depends on the students’ choice of data.

Aim: The course is intended to apply different statistical methods to a real data set. By the end of the course, the student should be able to:

  • use an appropriate probability model to describe and analyse observed data and draw conclusions concerning interesting parameters;
  • explore the nature of the relationships between two or several variables by using different kinds of linear models and discuss the adequacy of the models;
  • use suitable software (e.g., R, SAS, SPSS, Matlab, depending on the students interests) for certain types of statistical analyses.

Course contents: Analysis of data by using appropriate statistical software, e.g., R, SAS, SPSS, Matlab, depending on the students interests.

Organisation: Computer example classes

Examination: Statistical data analysis with an oral presentation. The statistical data analysis using statistical software should preferable be student oriented, i.e., the student could bring relevant datasets from his/her research field.

Prerequisites: MAI0137 Applied Statistical Methods – Part I

Course web page

Page manager: karin.johansson@liu.se
Last updated: 2017-04-03