Entry requirements

General entry requirements and Mathematics 3b/3c, Social Studies 1b/1a1+1a2 or Mathematics C, Civics A

Learning outcomes

After completing the course, a student is expected to:

• have knowledge about basic concepts in statistics

• have basic theoretical knowledge in probability theory and statistical inference

• own ability to apply statistical methods for collection, processing and analysis of quantitative and qualitative data particularly such linked to the field of Economy, Business and Social Science

• be able to critically review research reports and conclusions based on statistical data

• be able to present results of statistical studies

• be able to use standard statistical software

Content

Graphical descriptive methods and numerical descriptive measures. Data collection and sampling methods. Elementary probability theory, discrete and continuous probability distributions. Sampling distributions. Point estimation and confidence intervals. Parametric and non-parametric hypothesis tests. Analysis of relationships between variables, correlation and simple linear regression.

Instruction

Instruction is given in the form of lectures, supplementary lectures, and computer introduction.

Assessment

The examination takes place both through a written exam at the end of the course and through a number of compulsory assignments. A more detailed description of the compulsory assignments can be found in the course description for a specific semester.

Other regulations

The course is a compulsory course in the Business Administration and Economics Programme.

The course can not be included in a degree where the course A4 Introductory Statistics is included.