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ECTS Course Overview



Applied statistics in mineral resources and mining industry

* Exchange students do not have to consider this information when selecting suitable courses for an exchange stay.

Course Unit Code545-0154/01
Number of ECTS Credits Allocated5 ECTS credits
Type of Course Unit *Optional
Level of Course Unit *First Cycle
Year of Study *
Semester when the Course Unit is deliveredWinter Semester
Mode of DeliveryFace-to-face
Language of InstructionCzech
Prerequisites and Co-Requisites Course succeeds to compulsory courses of previous semester
Name of Lecturer(s)Personal IDName
SOU70RNDr. Radmila Sousedíková, Ph.D.
Summary
Subject concerns methods for describing univariate data sets, confidence intervals and tests of hypotheses, regression and correlation analysis, and time series analysis. Analyses are carried out on mineral resources and mining company data.
Learning Outcomes of the Course Unit
Generating knowledge concerning elements and methods of statistical data processing, and applying the knowledge to analysis of statistical data on mineral resources and mining industry.
Course Contents
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


Recommended or Required Reading
Required Reading:
MCCLAVE, James T., P. George BENSON and Terry SINCICH. Statistics for business and economics. Edition 13. Harlow: Pearson, 2018. ISBN 978-1-292-22708-5.
Mineral Commodity summaries of the Czech Republic 2019. Czech Geological Survey. Available from: http://www.geology.cz/extranet-eng/publications/online/mineral-commodity-summaries/mineral%20-commodity-summaries-2019.pdf
ANDERSON, David Ray, Dennis J. SWEENEY and Thomas Arthur WILLIAMS. Modern business statistics with Microsoft Office Excel. 5th ed. Stamford: Cengage Learning, 2015. ISBN 978-1-305-08218-2.
ALWAN, Layth C., Bruce A. CRAIG and George P. MCCABE. The practice of statistics for business and economics. Fifth edition. New York: W. H. Freeman and Company, 2020. ISBN 978-1-319-32481-0.
HINDLS, Richard aj. Statistika pro ekonomy. 8. vyd. Praha: Professional Publishing, 2007. 415s. ISBN 978-80-86946-43-6.
Surovinové zdroje ČR - nerostné suroviny [online]. Česká geologická služba, 2016 [vid. 2017-11-15]. Dostupné z: http://www.geology.cz/extranet/publikace/online/surovinove-zdroje/surovinove-zdroje-ceske-republiky-2016_m.pdf
MAREK, Luboš aj. Statistika pro ekonomy: aplikace. 2. vyd. Praha: Professional Publishing, 2007. ISBN 978-80-86946-40-5.
SOUSEDÍKOVÁ, R. Aplikovaná statistika v surovinovém průmyslu: e-learningová podpora. VŠB-TU Ostrava, 2018.
MC CLAVE, James T., George P. BENSON and Terry SINCICH. Statistics for Business and Economics. 12th ed. Upper Saddle River, New Jersey 07458: Prentice Hall, 2014. 1016 pp. ISBN 9781292023298.
Recommended Reading:
SOUSEDÍKOVÁ, R. Business Statistics [CD-ROM]. Ostrava: VŠB-Technická univerzita Ostrava, 2015. 125 s. ISBN 978-80-248-3660-7.
MC CLAVE, James T., George P. BENSON and Terry SINCICH. Statistics for Business and Economics. 12th ed. Upper Saddle River, New Jersey: Prentice Hall, 2014. ISBN 9781292023298.
ANDERSON, David Ray. Statistics for business and economics. 12th ed., rev. Stamford: Cengage Learning, 2014. ISBN 978-1-285-84632-3.
NEWBOLD, Paul, William Lee CARLSON and Betty THORNE. Statistics for business and economics. 8th ed., global ed. Harlow: Pearson Education, 2013. ISBN 978-0-273-76706-0.
NEUBAUER, Jiří, Marek SEDLAČÍK a Oldřich KŘÍŽ. Základy statistiky: aplikace v technických a ekonomických oborech. 2., rozšířené vydání. Praha: Grada Publishing, 2016. ISBN 978-80-247-5786-5.
MAREK, Luboš. Statistika v příkladech. Druhé vydání. Praha: Kamil Mařík - Professional Publishing, 2015. ISBN 978-80-7431-153-6.
Hornické ročenky 2015, 2016,2017, 2018.
Planned learning activities and teaching methods
Lectures, Tutorials
Assesment methods and criteria
Tasks are not Defined