545-0154/01 – Applied statistics in mineral resources and mining industry (ASSP)
| Gurantor department | Department of Economics and Control Systems | Credits | 5 |
| Subject guarantor | RNDr. Radmila Sousedíková, Ph.D. | Subject version guarantor | RNDr. Radmila Sousedíková, Ph.D. |
| Study level | undergraduate or graduate | Requirement | Compulsory |
| Year | 2 | Semester | summer |
| | Study language | Czech |
| Year of introduction | 2019/2020 | Year of cancellation | |
| Intended for the faculties | HGF | Intended for study types | Bachelor |
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:
Recommended literature:
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
Occurrence in study plans
Occurrence in special blocks