The course content serves as the requirements for the exam:

Introduction to the Subject Matter:
- Role of mathematical statistics in psychology
- Basic statistical concepts
- Issues with quantification in psychology
- Types of scales
Descriptive (Descriptive) Statistics Methods:
- Graphical presentation
- Quantiles
- Basic statistical characteristics
- Standard scores (z-transformation, standard scales used in psychology)
- Concept of statistical dependence
- Pearson's correlation coefficient
- Spearman's correlation coefficient
- Other correlation coefficients
- Significance tests of correlation coefficients
Inductive Statistical Methods:
- Principles of statistical induction: population (basic set) and sample
- Point and interval estimation of the population mean - confidence interval
- Testing statistical hypotheses: null and alternative hypotheses - test characteristic - significance level - one-sided and two-sided test - p-value - z-test - statistical power
- Some basic statistical tests:
  - One-sample t-test
  - Two-sample t-test
  - Paired t-test (for dependent samples)
  - Their nonparametric equivalents
  - Linear regression
  - Chi-square goodness of fit test
  - Chi-square test of independence
  - McNemar's symmetry test
  - Fisher's exact test
  - Analysis of Variance (ANOVA)

c) Testing of statistical hypotheses: null and alternative hypothesis - test characteristics - level of significance - one-sided and double-sided test - p-value - z-test - statistical power.

d) Some basic statistical tests: one-sampling t-test - two-samples t-test - paired t-test (for dependent samples) - linear regression - chi-square test of good fit - chi-square test of independence - Mc-Nemar test of symmetry - Fischer exact test - basics of non-parametric tests and ANOVA