Mathematical Statistics (SL_037)
About Study Course
Objective
To get basic knowledge and skills in data processing methods (descriptive statistics, methods of inferential statistics to estimate differences between groups and relationships between variables), to use in bachelor thesis.
Prerequisites
Secondary school knowledge in mathematics and informatics.
Learning outcomes
After completion of this course, the student will demonstrate basic knowledge that allows to:
* recognise terminology used in statistics and basic methods used in different publications;
* know commonly used data processing tools in MS Excel and IBM SPSS;
* know data processing criteria of various statistical methods;
* interpret correctly the most important statistical indicators.
After completion of this course, the student will demonstrate skills to:
* input and edit data in computer programs MS Excel and IBM SPSS;
* prepare data for statistical analysis correctly;
* choose appropriate data processing methods, incl., will be able to do statistical hypothesis testing;
* statistically analyse research data using computer programs MS Excel and IBM SPSS;
* create tables and graphs in MS Excel and IBM SPSS programs for obtained results;
* describe obtained research results correctly.
After completion of this course, students will be able to argue and make decisions about statistical data processing methods, use them to achieve research aims, using computer programs MS Excel and IBM SPSS, practically use learned statistical basic methods to process research data.
