Random variables v.c. continue, v.c. discrete, distribution functions, expected value and variance of a v.c., moments, , main v.c. discrete (binomial, hypergeometric, Poisson), principal v.c. continuous (uniform, normal, exponential, chi square, Student's T), Introduction to statistical inference: parametric statistical models, random samples, statistics, sample distributions, likelihood function. Point estimate: correct estimators, consistent estimators, efficient estimators. Estimation using intervals :. Testing of statistical hypotheses: simple and compound parametric hypotheses, the simple linear regression model and its uses. Confidence intervals for the estimated parameters and hypothesis testing. Forecast intervals.