1. understand and explain data presented in tabular and graphical form ; 2. Show knowledge of basic concepts of statistics (relevant population sample, etc.) and its related topics, including descriptive statistics, statistical analysis, data collection techniques, concepts of probability theory and the relevance of certain factors in statistical analysis (such as random event, random variation, distribution function, distribution density); 3.show understanding of concepts related to numerical characteristics of random variables and the corresponding statistical terms (mathematical prediction, different median/mean values, dispersion), with the independent ability to conduct a survey on a population set and present the findings; 4. display knowledge in the analysis of statistical data, with the ability to formulate a parametric statistical hypothesis and of the methods to test hypotheses; 5.draw conclusions about the numerical characteristics of population based on a sample, to comprehend the meaning of numerical characteristics of the sample and the value of parametric tests; 6.to formulate a non-parametric statistical hypothesis and to undertake appropriate tests, showing comprehension of methods of linear regression and analysis of variance; 7. propose and carry-out complex statistical analysis in collaboration with professional statisticians; 8. use the knowledge acquired to identify problems and short-comings and actively participate in eradicating them.
Name | Lectures | Exercises | Laboratory |
---|---|---|---|
ANĐELA MIJANOVIĆ | 1x1 21B+12S+7P | ||
GORAN POPIVODA | 1x1 21B+12S+7P |