lecturer of 2024/2025 Autumn semester
Not opened for teaching. Click the study programme link below to see the nominal division schedule.
lecturer of 2024/2025 Spring semester
Not opened for teaching. Click the study programme link below to see the nominal division schedule.
Brief description of the course
Random events and their probabilities. Classical, statistical and geometric probability. Independent events, formula of full probability, Bayes`s formula. Bernoulli` formula and theorems of Moivre`-Laplace`. Discrete and continuous random variables. Cumulative distribution and probability density functions. Mean, mode, median, variance, standard deviation. Binomial, normal, uniform, exponential and Poisson distributions. Markov`s and Chebyshev`s inequalities, Bernoulli` law of large numbers and Lyapunov`s theorem. Main concepts of mathematical statistics: population, sample, empiric distribution function, characteristics. Unbiased and effective estimates. Confidence intervals.