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Applied statistics in mineral resources and mining industry

Summary

After completing the course, students will be able to describe and analyze univariate statistical sets, data from sample surveys, perform regression and correlation analysis, and time series analysis. The analyses are performed on data on minerals and mining companies.

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 .


Language of instruction čeština, angličtina, čeština
Code 545-0154
Abbreviation ASSP
Course title Applied statistics in mineral resources and mining industry
Coordinating department Department of Economics and Control Systems
Course coordinator RNDr. Radmila Sousedíková, Ph.D.