Pravdpodobnost
Pravdpodobnost is a branch of mathematics that studies the likelihood of events and provides a formal framework for reasoning about uncertainty arising from random phenomena, data, and models.
A probabilistic model consists of a sample space, a set of events, and a probability measure that
Basic rules include the addition rule P(A or B) = P(A) + P(B) − P(A and B), and the
Random variables map outcomes to numbers, enabling the computation of expected value (mean), variance, and other
Two central results are the law of large numbers, which describes convergence of averages to the true
Interpretations vary: the frequentist perspective treats probability as a long-run frequency, while the Bayesian view regards