About the course

The purpose of the course is that the student develops knowledge and gain basic skills in statistical models in order to handle the stochastic variations and also be familiar with some data analysis methodologies, which are based on probability theory, for instance, parameter estimate, correlation and regression analysis, hypothesis testing.

Course content

The Course contains the following moments:

- Probability theory: classical probability, Stochastic variables in one and higher dimension, some well-known distributions, Central limit theorems, Approximations
- Inference theory: Sampling, Descriptive statistics, Point-wise estimate, Confidence Interval, Comparison in pair and for independent samples, Hypothesis testing, Analysis of variance
- Statistical models: Correlation, Simple linear regression, Nonlinear regression, Multiple regression
- SPSS program

Syllabus and course literature

You can find a list of literature in the syllabus, along with other details about the course.

Entry requirements and selection

Entry requirements

The equivalent of English 6 in Swedish secondary school.

Pass in following course: MA209A: Analysis A and Linear Algebra, 15 credits or alternatively at least 15 credits from MA301A: Calculus with Applications and MA300A: Linear Algebra with Applications.


University credits completed 100%

Course evaluation

The university provides all students who are participating in, or have completed, a course to express their experiences and views on the course through a course evaluation which is organized at the end of the course. The university will collate the course evaluations and provide information about their results and any actions prompted by them. The results shall be made available to the students. (HF 1:14).


For more information about the education: