Syllabus
Probability calculus, conditional probability, independence of random events
Random variables, discrete and continuous, distribution functions, independence of random variables
Distribution of random variables – alternative, geometric, binomial, Poisson, exponential
Limit theorems, normal distribution, parameter estimates
Principle of hypothesis testing, one-sample tests
Two-sample and paired tests, ANOVA
Correlation coefficients, linear regression
Goodness of fit tests, contingency tables
Methods of descriptive statistics
Annotation
Basic concepts and knowledge about probability and random variables, methods of descriptive and mathematical statistics.