To acquire basic knowledge and skills in statistical data processing methods (descriptive statistics, methods of inferential statistics to estimate differences between groups and relationships between variables) required for the development of research work and the application of statistical indicators in their specialty.
Knowledge of mathematics and informatics relevant to the programme of secondary education.
Upon completion of this course, students will have acquired knowledge that will allow to:
* recognise terminology used in statistics and basic methods used in different types of publications;
* be competent in commonly used data processing tools in MS Excel and IBM SPSS;
* be aware of data processing criteria for various statistical methods;
* interpret the most important statistical indicators accurately.
Upon completion of this course, students will be able to:
* enter and edit data in the computer programs MS Excel and IBM SPSS;
* correctly prepare data for statistical processing and analysis;
* choose appropriate data processing methods, including the ability to do statistical hypothesis tests;
* statistically process research data using the computer programs MS Excel and IBM SPSS;
* create tables and graphs in MS Excel and IBM SPSS programs for the obtained results;
* describe the obtained research results correctly.
Upon completion of this course, students will be able to take an informed decision about the use of statistical data processing methods to achieve research aims, using the computer programs MS Excel and IBM SPSS; to use the acquired basic statistical methods in processing research data.
Study course planning
|Study programme||Study semester||Program level||Study course category||Lecturers||Schedule|
|Medicine, MF||9||Master’s||Required||Māra Grēve, Madara Miķelsone, Silva Seņkāne, Ināra Kantāne|
|Medicine, SSNMF||9||Master’s||Required||Olga Rajevska, Lāsma Asare, Madara Miķelsone|
|Pediatrics, MFp||9||Master’s||Required||Māra Grēve|