Data Analysis: Inferential Statistics
Course code
IFI6080.DT
old course code
IFI6080
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
To create opportunities for acquiring theoretical knowledge and practical skills for processing statistical data and caring out data analysis with the aid of SPSS software. The course is also set up to support developing ones ability to chose appropriate methods for analysis and presentation, as well as to understand and interpret correctly the meaning of statistical results.
Brief description of the course
Population and sample. Normal distribution. Statistical inferences - parametric and nonparametric tests: confidence intervals, tests of statistical significance: t test, chi-square test, ANOVA, Kruskal-Wallis test. Course consists of seminar type lectures and practical classes where students are expected to be actively involved. In addition every student must submit home assignment, where (s)he demonstrates the command of all statistical data analysis techniques presented in the course.
Learning outcomes in the course
Upon completing the course the student:
Understands the difference between descriptive and inferential statistics; Has got experience in setting up questions about data which lead to statistical analysis with methods of inferential statistics; Understands statistical concepts introduced during the course, knows the prerequisites for their correct application and can interpret the results of the analysis correctly; Can recognise different types of variables and choose appropriate statistical techniques accordingly; Can use the SPSS software with the aid of the manual for simple data processing and analysis.
Understands the difference between descriptive and inferential statistics; Has got experience in setting up questions about data which lead to statistical analysis with methods of inferential statistics; Understands statistical concepts introduced during the course, knows the prerequisites for their correct application and can interpret the results of the analysis correctly; Can recognise different types of variables and choose appropriate statistical techniques accordingly; Can use the SPSS software with the aid of the manual for simple data processing and analysis.
Teacher
prof K. Niglas, lekt K. Osula, õp T. Tuuling
Prerequisite course 1
Study programmes containing that course