Data Acquisition and Management

prof. Jakub Kortas (Gdansk University of Physical Education and Sport)

Part I: Define and recognize key descriptive statistics
I – Presentation of statistics for qualitative and quantitative variables
II – Data visualization, graphic presentation
III – Practical interpretation of the results
IV – Determining the sample size for a research experiment
V – Homogeneity of the results as a prerequisite for conducting analyses
VI – Reflection on the obtained results – handling outliers

Part II: Tests of significance
I – Comparing the obtained results with the standard for the tested group
II – How to choose the right statistical tests
III – Analysis of two variables (dependent and independent)
IV – Comparisons of multiple dependent and independent measurements
V – Relationship between the variables
VI – Analysis of the influence of one factor on the values taken by the other factor