1. komponenta

Lecture type	Total
Lectures	15
Exercises	30

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

The aim of the course is to provide students with a basic understanding of the concepts in statistics and the application of statistical reasoning in the social sciences.

Course content:
Clinical and statistical approach in the social sciences
Measurement levels
Statistical distributions
Measures of central tendency and dispersion of results
Standardized scores (z-values, centiles, T-scores)
Population and sample
Probabilistic sampling
Estimating population parameters
Testing statistical hypotheses
Difference between two samples and two sets of observations
Difference between three samples (ANOVA)
Two-way analysis of variance
Correlation
Partial correlation
Chi-square

Student obligations: Students are required to attend lectures (80%).
Assessment and evaluation of students' work during classes and at the final exam: The points achieved through various activities are added up and based on that a final grade is formed.

1. Petzova statistika, , Petz, B., Kolesarić, V., Ivanec, D, Jastrebarsko: Naklada Slap., 2012.
2. Istraživačke metode u psihologiji i drugim društvenim znanostima, , Milas, G, Jastrebarsko: Naklada Slap, 2009.
3. Metode znanstvenog istraživanja u društvenim i humanističkim znanostima, , Mejovšek, M, Jastrebarsko: Naklada Slap, 2008.
4. Petz's statistics, , Petz, B., Kolesarić, V., Ivanec, D, Jastrebarsko: Naklada slap, 2012.
5. Research methods in psychology and other social sciences, , Milas, G, Jastrebarsko: Naklada Slap, 2009.
6. Methods of scientific research in the social sciences and humanities, , Mejovšek, M, Jastrebarsko: Naklada Slap, 2008.