Data Analysis: Inferential Statistics
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Course code
IFI7044.DT
old course code
IFI7044
Course title in Estonian
Andmeanalüüs: üldistav statistika
Course title in English
Data Analysis: Inferential Statistics
ECTS credits
4.0
Assessment form
Examination
lecturer of 2024/2025 Autumn semester
Kairi Osula (language of instruction:Estonian)
lecturer of 2024/2025 Spring 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.
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.
Teacher
Kairi Osula, Triinu Jesmin
The course is a prerequisite
Additional information
It is highly recommended to participate in every seminar.
For a positive grade, both independent work and exam, have to be at least 51% each.
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Integrated Natural Sciences (MLLB/18.LT)
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