Enabling students for abstract thinking and acquisition of basic knowledge in statistical modeling and its application. The course objective is to develop special way of thinking while studying mass phenomenon in the field of environmental engineering. The course character is applicable, so the special emphasis is placed on the knowledge which can clarify quantitative approach to the problems in the field of study. The objective is to enable students for the selection of adequate statistical model and its processing. Students are also able to use statistical software packages.

The student is able to make and solve statistical models in further education and work, and to apply acquired knowledge in other courses and in the problems in the practice.

Descriptive statistics - numerical characteristics of the sample and population. Parameter estimation - confidence intervals. Hypothesis testing. Power and statistical significance of the tests. Multisample estimation and hypothesis testing.Nonparametric techniques. Regression and correlation.

Lectures, numerical computing practice and computer practice. Consultations. Lectures are combined. Lectures consist of the theoretical part of the course and typical examples which serve for better understanding of the theory are presented. Practice accompanies lectures and corresponding problems are solved. In the computer practice, students solve the given problems by using statistical packages. Besides lectures and practice, consultations are held on the regular basis. Oral part of the examination is eliminatory.