Introductory Statistics

15 credits

Syllabus, Bachelor's level, 2ST063

A revised version of the syllabus is available.
Code
2ST063
Education cycle
First cycle
Main field(s) of study and in-depth level
Statistics G1N
Grading system
Fail (U), Pass (G), Pass with distinction (VG)
Finalised by
The Department Board, 27 March 2020
Responsible department
Department of Statistics

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. Time Series.

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.

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.

Other directives

The course cannot be included in a degree where the course Statistics for Economics A8 is included.

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