The basic axioms of probability theory and the rules derived from a
Random variables and methods of its description
The rules for calculating the means and variances
Selected types of probability distribution (Poisson, exponential, normal, gamma, Weibull) and derive their basic numerical characteristics
Processing of random
Point and interval estimates of population parameters
Testing statistical hypotheses - an introduction and practical procedures for testing hypotheses about the exponential distribution and Poisson probability
Markov queuing systems - proof of the theorem of elementary Markov input flow and phrases, repetition of basic types of systems - without the queues, the queue length with unlimited and limited queue length
Random variables and methods of its description
The rules for calculating the means and variances
Selected types of probability distribution (Poisson, exponential, normal, gamma, Weibull) and derive their basic numerical characteristics
Processing of random
Point and interval estimates of population parameters
Testing statistical hypotheses - an introduction and practical procedures for testing hypotheses about the exponential distribution and Poisson probability
Markov queuing systems - proof of the theorem of elementary Markov input flow and phrases, repetition of basic types of systems - without the queues, the queue length with unlimited and limited queue length