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To study: axiomatic definition of probability, basic theorems of probability theory, formulas of full probability and Bayes, Bernoulli sequential test scheme, approximate formulas of Moivre-Laplace and Poisson, random variable distribution function, distribution density function, numerical characteristics of random variables, basic laws of random variable distribution, random vector distribution laws, Chebyshev inequalities, limit theorems of Chebyshev, Bernoulli, Lyapunov, Moivre-Laplace, sampling method, empirical distribution laws, empirical moments, confidence interval, interval estimates, sample pair correlation coefficient, pair regression, testing hypotheses about the equality of variances and averages of normally distributed populations, Pearson's criterion of agreement.
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Расписание