The preparation and evaluation of experiments, survey, the possibilities of utilization, the utilization of the programming system STATGRAPH. Handling with experimental data - making ready and conserving the data, corrections. Describing statistics, frequency tables and histograms. Statistical analysis of one or two variables, probability distribution. Initial data analysis, quartile graphs, dispersion variance and covariance analysis. Interpolation of data in selected distribution, critical values. Distribution functions – calculation, graphic presentation. Tests of distribution, quality control, smoothing of dependence. Simple and multiple, linear and non-linear regression. Filtering of remote measurements. Description of graphs and its print. Methods for proposal of an experiment and the experiment evaluation. Estimation and testing of hypotheses. Optimization task, methods of seeking the extremes, analysis and the formulation of the linear and quadratic programming task. Problems from the building practice of seeking the optimum- transport task, mixing problem, composition of raw material mixtures, grain distribution in the ground material. The subject doesn’t contain a part with lectures, the exercise has a calculation character.