541-0004 – Applied Statistics (AS)

Gurantor departmentDepartment of Geological Engineering
Subject guarantordoc. RNDr. František Staněk, Ph.D.
Study levelundergraduate or graduate
Subject version
Version codeYear of introductionYear of cancellationCredits
541-0004/01 1999/2000 2014/2015 5
541-0004/02 2005/2006 2014/2015 5
541-0004/03 2009/2010 2010/2011 5
541-0004/04 2019/2020 2019/2020 4
541-0004/05 2019/2020 2019/2020 4

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.


Subject has no prerequisities.


Subject has no co-requisities.