1. komponenta

Lecture type	Total
Practicum	15
Lectures	15
Seminar	15

* Load is given in academic hour (1 academic hour = 45 minutes)

Students will become familiar with basic concepts in statistics, steps in data collection process and organization of the data in variables. Students will be introduced with the importance of understanding of variables in the context of variable types and statistical analysis possibilities, with special attention paid to limitations of variable types and distribution characteristics. By completing the course students should demonstrate the knowledge on descriptive statistics; central tendency measures and variability, identification of biases in interpretation and making conclusions about population based on the statistical results obtained on samples and understanding the principles of two sample t-test.

1. Calculate and analyze different central tendency measures (mean, median, dominant value, geometric and harmonic value)
2. Understand and analyze t test results in the context of independent and dependent samples
3. Calculate and analyze different variability measures (standard deviation, total range, quartiles)
4. Compare and analyze calculated descriptors depending on variable type and distribution shape
5. Choose and make an appropriate graphical presentation of results (bar chart, pie chart, scatter plot) according to the calculated scores
6. Define the position of result in a group of results (centiles, deciles, quartiles, z values)
7. Understand and analyze what defines normal distribution and deviations from normality
8. Define the sample and population
9. Understand P value and statistical inference
10. Describe and analyze standard error of mean in the context of sample assessment and sample differences

1. Petzova statistika - Osnovne statističke metode za nematematičare, , Petz, B., Naklada Slap: Jastrebarsko., 2021.

Mandatory course - Regular studij - Sociology