| Course Unit Code | 545-0154/02 |
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| Number of ECTS Credits Allocated | 5 ECTS credits |
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| Type of Course Unit * | Optional |
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| Level of Course Unit * | First Cycle |
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| Year of Study * | |
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| Semester when the Course Unit is delivered | Winter Semester |
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| Mode of Delivery | Face-to-face |
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| Language of Instruction | English |
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| Prerequisites and Co-Requisites | Course succeeds to compulsory courses of previous semester |
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| Name of Lecturer(s) | Personal ID | Name |
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| SOU70 | RNDr. Radmila Sousedíková, Ph.D. |
| Summary |
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| 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. |
| Learning Outcomes of the Course Unit |
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| The student will acquire theoretical knowledge about basic procedures and methods of processing statistical files and apply them in the analysis of statistical data in the raw materials industry. |
| Course Contents |
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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
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| Recommended or Required Reading |
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| Required Reading: |
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MC CLAVE, James T.; BENSON, George P. and SINCICH, Terry. Statistics for business and economics. Edition 13. Harlow: Pearson, 2018. ISBN 978-1-292-22708-5.
Mineral Commodity summaries of the Czech Republic, current version of the yearbook. Czech Geological Survey.
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.
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HINDLS, Richard; ARLTOVÁ, Markéta; HRONOVÁ, Stanislava; MALÁ, Ivana; MAREK, Luboš et al. Statistika v ekonomii. Průhonice: Professional Publishing, 2018. ISBN 978-80-88260-09-7.
Surovinové zdroje ČR - nerostné suroviny, aktuální verze ročenky. Česká geologická služba.
NEUBAUER, Jiří; SEDLAČÍK, Marek a KŘÍŽ, Oldřich. Základy statistiky: aplikace v technických a ekonomických oborech. 3., rozšířené vydání. Praha: Grada Publishing, 2021. ISBN 978-80-271-3421-2.
SOUSEDÍKOVÁ, R. Aplikovaná statistika v surovinovém průmyslu: e-learningová podpora. VŠB-TU Ostrava, 2018.
MC CLAVE, James T.; BENSON, George P. and SINCICH, Terry. Statistics for Business and Economics. 12th ed. Upper Saddle River, New Jersey 07458: Prentice Hall, 2014. ISBN 9781292023298. |
| Recommended Reading: |
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SOUSEDÍKOVÁ, R. Business Statistics [CD-ROM]. Ostrava: VŠB-Technická univerzita Ostrava, 2015. ISBN 978-80-248-3660-7.
MC CLAVE, James T.; BENSON, George P. and SINCICH, Terry. 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; CARLSON, William Lee and THORNE, Betty. Statistics for business and economics. 8th ed. Harlow: Pearson Education, 2013. ISBN 978-0-273-76706-0.
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NEUBAUER, Jiří; SEDLAČÍK, Marek a KŘÍŽ, Oldřich. 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.
JANÁČEK, Julius. Statistika jednoduše: průvodce světem statistiky. Praha: Grada Publishing, 2022. ISBN 978-80-271-1738-3.
VOJÁČEK, Jan. Statistika pro nematematiky: pravděpodobnostní myšlení a základy statistiky nejen v moderní medicíně. Praha: Maxdorf, 2024. ISBN 978-80-7345-785-3.
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| Planned learning activities and teaching methods |
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| Lectures, Individual consultations, Tutorials, Project work |
| Assesment methods and criteria |
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| Tasks are not Defined |