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 2023/2024 Spring semester

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

lecturer of 2024/2025 Autumn semester

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

Course aims

* The aim of the course is to provide an overview of descriptive and
inferential statistics.
* To create an understanding about significance tests of differences and
correlations by theoretical and practical skills.
* To enhance the skills of implementing the theoretical and practical
knowledge of main inferential statistics methods.
* To make correct decisions about appropriate method and to correctly
interpret the results on their own.
* To introduce statistics packet SPSSs main inferential statistics methods.

Brief description of the course

* Main topics: descriptive statistics, the main principles of generalization,
main significance tests, T-tests, crosstabs, χ2 test, correlation and the
significance of correlation coefficient.
* Course consists of seminar type lectures and practical classes where students are expected to be actively involved.
The exam consists of two parts: one of them is a written test with open
questions and the other is independent work. Each of them make 50% of
the final grade.
Keeping score for a positive outcome it is necessary that both works are done (at least 51%) (written test, home assignment).

Learning outcomes in the course

Upon completing the course the student:
- differentiates between types of variables and chooses accordingly correct statistical methods for analysis;
- is able to use SPSS (with the help of guiding materials) with these inferential statistics methods;
- knows how to propose analysis questions that derive from data;
- knows how to correctly interpret the results of these analysis methods.

Teacher

Triinu Jesmin, Kairi Osula

Study programmes containing that course