541-0004/05 – Applied Statistics (AS)

Gurantor departmentDepartment of Geological EngineeringCredits4
Subject guarantordoc. RNDr. František Staněk, Ph.D.Subject version guarantordoc. RNDr. František Staněk, Ph.D.
Study levelundergraduate or graduate
Study languageEnglish
Year of introduction2019/2020Year of cancellation2019/2020
Intended for the facultiesHGFIntended for study typesBachelor
Instruction secured by
LoginNameTuitorTeacher giving lectures
STA22 doc. RNDr. František Staněk, Ph.D.
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Credit and Examination 2+2
Part-time Credit and Examination 8+8

Subject aims expressed by acquired skills and competences

This course is dedicated to finding solutions of probabilistic and statistical problems. These problems can arise from other courses as well as from practice. The main emphasis lays in explanation of fundamental principles of probabilistic and statistical methods and of their general properties. The students learn how to decide which procedure is a suitable tool for solving a specific problem. The first part of the course deals with basic probabilistic notions and with the way in which to understand these notions from both theoretical and practical points of view. In the second part of the course the students learn the statistical way of thinking as a mean of understanding real-life processes. The basic methods of collecting and analysing statistical data are introduced. The students are taught how to use these general methods to solve the problems arising from other courses of their study and from practice. The students learn how to use existing software specialized for statistical computations, too.

Teaching methods



The introductory course Applied Statistics deals with the basic problems of probability and statistics. It gives the base for ability to describe random processes by means of random variable and random vector. The course deals with the basic problems of descriptive statistics, methods of statistical inference, tests of hypotheses, analysis of variance, regression and correlation analysis and time series analysis for one- or multi-dimensional statistical set of data.

Compulsory literature:

Briš, R.: PROBABILITY AND STATISTICS FOR ENGINEERS, Ostrava, VŠB - TU, 2011. (http://homel.vsb.cz/~bri10/)

Recommended literature:

Barnett, V.: Environmental Statistics. Methods and Applications. Wiley, 2003. Hammer, R, Harper, D.: Paleontological Data Analysis. Malden, MA: Blackwell Pub, 2006. Meier, P. C., Zünd, R., E.: Statistical Methods in Analytical Chemistry. Wiley, 2000.

Way of continuous check of knowledge in the course of semester

Písemné testy.


Other requirements

doplnit, doplnit, doplnit, doplnit, doplnit.


Subject has no prerequisities.


Subject has no co-requisities.

Subject syllabus:

Finding solutions of probabilistic and statistical problems. Explanation of fundamental principles of probabilistic and statistical methods. Basic probabilistic notions. Basic methods of collecting and analysing statistical data. Software specialized for statistical computations.

Conditions for subject completion

Conditions for completion are defined only for particular subject version and form of study

Occurrence in study plans

Academic yearProgrammeField of studySpec.ZaměřeníFormStudy language Tut. centreYearWSType of duty

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner

Assessment of instruction

Předmět neobsahuje žádné hodnocení.