Data Analysis II
Course code
IFI6007
old course code
IFI6007
Course title in Estonian
Andmeanalüüs II
Course title in English
Data Analysis II
ECTS credits
1.5
Assessment form
assessment
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 elementary 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. Statistical inferences: confidence intervals, tests of statistical significance: t-test, chi-square test, ANOVA. Relationships: measures of association and crosstables. Parametric and nonparametric methods.
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.
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:
• Can create data-table with an appropriate structure
• Has got experience in setting up questions about data which lead to statistical analysis
• 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 inferencial analysis
• Can create data-table with an appropriate structure
• Has got experience in setting up questions about data which lead to statistical analysis
• 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 inferencial analysis
Teacher
lekt Kairi Osula
Prerequisite course 1