Statistics and Data Analysis
Course code
IFI6003
old course code
IFI6003
Course title in Estonian
Statistika ja andmeanalüüs
Course title in English
Statistics and Data Analysis
ECTS credits
3.0
Assessment form
graded 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
Statistical data and preparation for analysis. Different types of data. Descriptive statistics: frequency and summary tables, statistics and charts.
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.
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.
Brief description of the course
Statistical data and preparation for analysis. Different types of data. Descriptive statistics: frequency and summary tables, statistics and charts. Relationships: measures of association and crosstables. Population and sample. Statistical inferences: confidence intervals, tests of statistical significance: t-test, chi-square test, ANOVA. Parametric and nonparametric tests.
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 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 analysis
Teacher
lekt Kairi Osula, õp Taivo Tuuling
Prerequisite course 1