TLÜ ÕIS

Data Analysis: Inferential Statistics

Course code

IFI7070.DT

old course code

IFI7070

Course title in Estonian

Statistilised järeldused uurimistöös

Course title in English

Data Analysis: Inferential Statistics

ECTS credits

3.0

Assessment form

Examination

lecturer of 2025/2026 Autumn semester

Not opened for teaching. Click the study programme link below to see the nominal division schedule.

lecturer of 2025/2026 Spring semester

Not opened for teaching. Click the study programme link below to see the nominal division schedule.

Course aims

- To create opportunities for reflective analysis of differences and associations with statistical reliability through the acquisition of theoretical knowledge and practical skills.
- To introduce the possibilities of using basic methods of generalised statistics.
- 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

Objectives of the course
- Basic principles of inferential statistics.
- Statistical significance tests. T-test.
- Two-dimensional frequency tables. Chi-square test and other non-parametric tests.
- Correlation analysis. Statistical significance of correlation coefficients.

Course organisation:
- The coursework is 78 (3x26) hours. The course consists of 78 hours of course work, of which the contact hours are seminars and an examination. The examination consists of two parts: a written test with open questions and independent work.

Learning outcomes in the course

Upon completing the course the student:
- have experience in formulating data-driven questions requiring statistical generalisation;
- understand the nature of the generalised statistical methods covered, know the conditions of their application and be able to interpret the results of the analysis correctly;
- distinguishes between types of data/characteristics and selects the appropriate analytical methods (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 for data processing and analysis based on inferential statistical methods.

Teacher

Triinu Jesmin, Kairi Osula

Study programmes containing that course