Basic Statistics (LF_620)
About Study Course
Objective
To get basic knowledge in data processing methods (descriptive statistics, inferential statistics to estimate differences), that can be used in thesis work and in chosen specialty.
Prerequisites
Secondary school knowledge in mathematics and informatics.
Learning outcomes
After completion of this course, students will demonstrate basic knowledge that allows to: * recognise terminology used in statistics and basic methods used in different publications; * know IBM SPSS offered data processing tools; * know data processing method criterias; * correctly interpret the most important statistical indicators.
After completion of this course, students will demonstrate skills: * to input and edit data in computer programs MS Excel and IBM SPSS; * to prepare data for statistical analysis correctly; * to choose appropriate data processing methods, incl., will be able to do statistical hypothesis testing; * statistically analyse research data using IBM SPSS program; * create tables and graphs in IBM SPSS program with obtained results; * precisely describe obtained research results.
After completion of this course, students will be able to argument and make decisions about statistical data processing methods, use them to achieve research aims, using IBM SPSS, practically use learned statistical basic methods to process research data.
