| 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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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.
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| 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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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. |
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.
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.
MCCLAVE, James T.; BENSON, George a SINCICH, Terry. Statistics for business and economics. 14th edition. Harlow: Pearson, 2022. ISBN 978-1-292-41339-6. |
| Recommended Reading: |
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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. |
NEUBAUER, Jiří; SEDLAČÍK, Marek a KŘÍŽ, Oldřich. Základy statistiky: aplikace v technických a ekonomických oborech. 2., rozšířené vydání. Praha: Grada, 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. Grada, 2022. ISBN 978-80-271-6640-4.
SOUSEDÍKOVÁ, Radmila. Business statistics. Ostrava: Vysoká škola báňská - Technická univerzita, 2015. ISBN 978-80-248-3660-7. |
| Planned learning activities and teaching methods |
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| Lectures, Individual consultations, Tutorials |
| Assesment methods and criteria |
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| Tasks are not Defined |