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Applied statistics in mineral resources and mining industry

Type of study Bachelor
Language of instruction English
Code 545-0154/02
Abbreviation ASSP
Course title Applied statistics in mineral resources and mining industry
Credits 5
Coordinating department Department of Economics and Control Systems
Course coordinator RNDr. Radmila Sousedíková, Ph.D.

Subject syllabus

1.Basic statistical terms, statistical variable classification, classification of economic activities CZ-NACE
2.Methods of data collection, monthly statement of industry data Prům 1-12
3.Basic processing of statistical data: frequency distribution and class interval, application to frequency distribution of wages in mining company
4.Statistical plots – graphical representation of technical and production indicators of mining company
5.Quantiles, quartiles, deciles and centiles, basic processing of technical and production indicators of mining company
6.Measures of central tendency: means, median, mode, application to wages in mining company
7.Measures of variability: range, variance, standard deviation, variation coefficient, application to wages in mining company
8.Point and interval estimation, financial ratio estimation for mining company
9.Hypothesis testing, financial ratio testing for mining company
10.Regression analysis: regression function, estimation of regression function parameters, application to analysis of mining company cost
11.Correlation analysis: quality of regression function and intensity of dependency, application to analysis of mining company cost
12.Time series: basic characteristics of time series
13.Time series models, trend function, trend analysis of hard coal production

E-learning

The Moodle Learning Management System (lms.vsb.cz) is used for external communication of the teacher with students outside the class-room, as well as for communication among the students themselves.

Literature

MCCLAVE, James T.; BENSON, George a SINCICH, Terry. Statistics for business and economics. 14th edition. Harlow: Pearson, [2022]. ISBN 978-1-292-41339-6 .
NEWBOLD, Paul; CARLSON, William Lee a THORNE, Betty. Statistics for business and economics. 8th ed., global ed. Always learning. Harlow: Pearson Education, c2013. ISBN 978-0-273-76706-0.
ANDERSON, David Ray; SWEENEY, Dennis J. and WILLIAMS, Thomas Arthur. Modern business statistics with Microsoft Office Excel. 5th ed. Stamford: Cengage Learning, 2015. ISBN 978-1-305-08218-2.
ALWAN, Layth C.; CRAIG, Bruce A. and MCCABE, George P. The practice of statistics for business and economics. Fifth edition. New York: W. H. Freeman and Company, 2020. ISBN 978-1-319-32481-0.

Advised literature

SOUSEDÍKOVÁ, Radmila. Business statistics. Ostrava: Vysoká škola báňská - Technická univerzita, 2015. ISBN 978-80-248-3660-7 .
MOORE, David S. a NOTZ, William. Statistics: concepts and controversies. Tenth edition. New York: Macmillan International Higher Education, [2020]. ISBN 978-1-319-32483-4 .
RHINEHART, R. Russell a BETHEA, Robert M. Applied engineering statistics. Second edition. Boca Raton: CRC Press, Taylor & Francis Group, 2022. ISBN 978-1-032-11948-9.
BRASE, Charles Henry; BRASE, Corrinne Pellillo a EL-IRAKI, Aly. Understanding basic statistics. Eighth edition. [Austrálie]: Cengage, [2019]. ISBN 978-1-337-78218-0 .


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