lecturer of 2025/2026 Autumn semester
Not opened for teaching. Click the study programme link below to see the nominal division schedule.
Course aims
To provide the theoretical knowledge and practical skills needed to carry out analyses reflecting the statistical reliability of differences and associations. To introduce the possibilities of the statistical package in the use of basic methods of inferential statistics. To contribute to the development of practical experience in the application of knowledge and skills, enabling independent decisions to be made on the choice of appropriate method(s) of analysis and the correct interpretation of the results of the analysis.
Brief description of the course
Population and sample. The idea of normal distribution. Parametric and non-parametric methods of analysis. Inferential statistics: t-test, x2-test, analysis of variance; statistical significance of correlation coefficients.
Choice of appropriate analysis and presentation methods.
Learning outcomes in the course
Upon completing the course the student:
- have experience in formulating questions based on data and requiring statistical generalisation;
- understand the nature of the inferential statistical methods discussed, know the conditions of their application and be able to interpret the results of the analysis correctly;
- is able to distinguish between types of data/characteristics and to select the appropriate methods of analysis (within the limits of the methods covered) according to the type of data and the content of the question asked about the data;
- with the help of the guidance material, be able to use the appropriate software to carry out analysis based on data processing and inferential statistics methods.
Additional information
It is highly recommended to participate in every seminar.
For a positive grade, both independent work and exam, have to be at least 51% each.