Syllabus, Master's level, 2ST106
- Education cycle
- Second cycle
- Main field(s) of study and in-depth level
- Statistics A1N
- Grading system
- Fail (U), Pass (G), Pass with distinction (VG)
- Finalised by
- The Department Board, 29 May 2008
- Responsible department
- Department of Statistics
To be admitted to the course, undergraduate degree of at least 120 credit points is required/180 credits, of which at least 60 credit points/90 credits are within social science, or equivalent.
A student who has taken the course should:
- have obtained practice in applying analytical methods for the social and the - and behavioural sciences
- be able to use statistical software packages for the analysis of statistical data
- be able to interpret the results of a statistical analysis
- be aware of limitations and possible sources of errors in the analysis
- have ability to both in oral and written form present results of statistical analysis
Practical application of statistical methods used within the social and the behavioural science. Data collection and sampling methods. Inference, relationships between variables, correlation, regression analysis, models for dichotomous/polytomous dependent variables and analysis of questionnaire data are examples that are treated during the course.
Teaching is given in the form of lectures.
The examination consists of a written examination and 3 written written assignments.