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.
Applied statistics in mineral resources and mining industry
| Language of instruction | 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. |
Anotace
The course provides students with basic theoretical knowledge and practical skills in the field of statistical processing, analysis and interpretation of statistical data with a focus on the raw materials industry and mining companies.
After completing the course, the student will achieve the following learning outcomes:
Knowledge: the student will characterize the principles of statistical data processing and their presentation, explain the meaning of rate and variability characteristics, describe the principles of characteristic estimation and hypothesis testing, characterize the essence of regression and correlation analysis and time series analysis. He will justify the choice of an appropriate statistical method with regard to the nature of the analysed data and the objective of the analysis.
Skills: the student will apply basic statistical methods in the processing of one-dimensional statistical sets of technical and production indicators and wage data of a mining company. He will calculate estimates of selected indicators and perform their testing, apply regression and correlation analysis in cost analysis, evaluate the trend of the time series of mineral commodity prices.
General competencies: the student will independently propose an appropriate method of statistical processing and analysis with regard to the nature of the data and the objective of the analysis. Interprets the results of calculations and assesses the informativeness and limitations of the obtained results, uses statistical methods as a tool for decision support.
After completing the course, the student will achieve the following learning outcomes:
Knowledge: the student will characterize the principles of statistical data processing and their presentation, explain the meaning of rate and variability characteristics, describe the principles of characteristic estimation and hypothesis testing, characterize the essence of regression and correlation analysis and time series analysis. He will justify the choice of an appropriate statistical method with regard to the nature of the analysed data and the objective of the analysis.
Skills: the student will apply basic statistical methods in the processing of one-dimensional statistical sets of technical and production indicators and wage data of a mining company. He will calculate estimates of selected indicators and perform their testing, apply regression and correlation analysis in cost analysis, evaluate the trend of the time series of mineral commodity prices.
General competencies: the student will independently propose an appropriate method of statistical processing and analysis with regard to the nature of the data and the objective of the analysis. Interprets the results of calculations and assesses the informativeness and limitations of the obtained results, uses statistical methods as a tool for decision support.
Povinná literatura
Doporučená literatura
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.
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.