The course starts with a general introduction to, for instance, what statistics are about, the paradigms of statistics, the collection and measuring of data, measurement scales, types of random samples and random sample errors, etc.
In descriptive statistics, we summarise the data by discussing the most important graphic and numerical representations and the choice of the most correct representation. After a brief overview of the probability theory we study random variables, using the most important discrete and continuous distributions as examples. The final topic of the course is the central limit theorem.