Experiments and events -Space of

elementary events -Probability of random events -Conditional probability and stochasitic independence: multistage probabilistic evaluation and forecasting -Bernoulli distribution and sequences of independent trials -Random variables and distribution functions -Numerical characteristics of random variables: mathematical expectation, variance, and moments of higher order -Numerical characteristics of random variables -Probability distributions: discrete case -Probability distributions: continuous case -Limit theorems of the probability theory -Probabilistic decision making.

In addition to

elementary events, junior high and high school levels competed in their own divisions.

Some terms: measurable space, probabilistic space,

elementary event, the space of

elementary events, sigma algebra, complex event, the function of probability, the probability of events, axioms of probability theory and Borel [sigma]-algebra as defined in (Sarapa, 1993).