545-0154/01 – Applied statistics in mineral resources and mining industry (ASSP)

Gurantor departmentDepartment of Economics and Control SystemsCredits5
Subject guarantorRNDr. Radmila Sousedíková, Ph.D.Subject version guarantorRNDr. Radmila Sousedíková, Ph.D.
Study levelundergraduate or graduateRequirementCompulsory
Year2Semestersummer
Study languageCzech
Year of introduction2019/2020Year of cancellation
Intended for the facultiesHGFIntended for study typesBachelor
Instruction secured by
LoginNameTuitorTeacher giving lectures
SOU70 RNDr. Radmila Sousedíková, Ph.D.
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Credit and Examination 2+2
Part-time Credit and Examination 8+8

Subject aims expressed by acquired skills and competences

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.

Teaching methods

Lectures
Tutorials

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.

Compulsory literature:

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 literature:

SOUSEDÍKOVÁ, R. Business Statistics [CD-ROM]. Ostrava: VŠB-Technická univerzita Ostrava, 2015. 125 s. ISBN 978-80-248-3660-7.

Way of continuous check of knowledge in the course of semester

Regular feedback on the progress of knowledge during the current term is provided by semester projects,two knowledge checks and written/oral exam.

E-learning

The Moodle Learning Management System (lms.vsb.cz) is used for external communication of the teacher with students outside the class-room, as well as for communication among the students themselves.

Další požadavky na studenta

There are no additional requirements.

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.

Subject syllabus:

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 14.Moving averages, analysis of mining company share price

Conditions for subject completion

Full-time form (validity from: 2020/2021 Winter semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of points
Credit and Examination Credit and Examination 100 (100) 51
        Credit Credit 30  17
        Examination Examination 70  34
Mandatory attendence parzicipation: Attendance at lectures is optional, attendance at seminars is 80%.

Show history

Occurrence in study plans

Academic yearProgrammeField of studySpec.ZaměřeníFormStudy language Tut. centreYearWSType of duty
2020/2021 (B2735XXX0001) Mineral Economics K Czech Most 2 Compulsory study plan
2020/2021 (B2735XXX0001) Mineral Economics K Czech Ostrava 2 Compulsory study plan
2020/2021 (B2735XXX0001) Mineral Economics P Czech Ostrava 2 Compulsory study plan

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner