545-0090/01 – Statistical Data Processing (ZpracDat)

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 introduction2015/2016Year of cancellation2020/2021
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 6+6

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 sets.

Teaching methods

Lectures
Individual consultations
Tutorials

Summary

Subject concerns methods for describing sets of data, confidence intervals and tests of hypotheses, regression and correlation analysis, and time series analysis.

Compulsory literature:

TRUXILLO, C. Statistical Analysis Using Enterprise Guide. Software Course Notes. SAS Institute Inc. USA, 2001.

Recommended literature:

SULLIVAN M. Fundamentals of Statistics. USA: Prentice Hall, 2005. ISBN: 0-13- 146449-3 Gunderson A. Interactive Statistics. [online]. USA, Prentice Hall, 2002. HTML format.URL:ftp://ftp.prenhall.com/pub/esm/web_marketing/mathematics_development a l.s-072/aliaga/aliaga.htm>

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 and knowledge checks

E-learning

The learning management system Moodle (lms.vsb.cz) is used for communication beyond full-time teaching, through which communication is enabled not only between the teacher and students, but also between students themselves.

Other requirements

There are no additional requirements.

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.

Subject syllabus:

1. Collecting data 2. Frequency distribution, statistical plots 3. Basic characteristics of statistical data set 4. Point and interval estimation 5. Hypothesis testing 6. Basic methods of dependence description, analysis of variance 7. Regression analysis 8. Correlation analysis 9. Time series 10. Basic characteristics of time series 11. Time series components 12. Index numbers

Conditions for subject completion

Part-time form (validity from: 2015/2016 Winter semester, validity until: 2020/2021 Summer 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 33  17
        Examination Examination 67  18
Mandatory attendence parzicipation:

Show history

Occurrence in study plans

Academic yearProgrammeField of studySpec.ZaměřeníFormStudy language Tut. centreYearWSType of duty
2020/2021 (B2102) Mineral Raw Materials (3902R064) System Engineering in Industry K Czech Most 2 Compulsory study plan
2020/2021 (B2102) Mineral Raw Materials (3902R064) System Engineering in Industry P Czech Ostrava 2 Compulsory study plan
2019/2020 (B2102) Mineral Raw Materials (3902R064) System Engineering in Industry P Czech Ostrava 2 Compulsory study plan
2019/2020 (B2102) Mineral Raw Materials (3902R064) System Engineering in Industry K Czech Most 2 Compulsory study plan
2018/2019 (B2102) Mineral Raw Materials (3902R064) System Engineering in Industry P Czech Ostrava 2 Compulsory study plan
2018/2019 (B2102) Mineral Raw Materials (3902R064) System Engineering in Industry K Czech Ostrava 2 Compulsory study plan
2018/2019 (B2102) Mineral Raw Materials (3902R064) System Engineering in Industry K Czech Most 2 Compulsory study plan
2017/2018 (B2102) Mineral Raw Materials (3902R064) System Engineering in Industry P Czech Ostrava 2 Compulsory study plan
2017/2018 (B2102) Mineral Raw Materials (3902R064) System Engineering in Industry K Czech Ostrava 2 Compulsory study plan
2017/2018 (B2102) Mineral Raw Materials (3902R064) System Engineering in Industry K Czech Most 2 Compulsory study plan
2016/2017 (B2102) Mineral Raw Materials (3902R064) System Engineering in Industry P Czech Ostrava 2 Compulsory study plan
2016/2017 (B2102) Mineral Raw Materials (3902R064) System Engineering in Industry K Czech Ostrava 2 Compulsory study plan
2016/2017 (B2102) Mineral Raw Materials (3902R064) System Engineering in Industry K Czech Most 2 Compulsory study plan
2015/2016 (B2102) Mineral Raw Materials (3902R064) System Engineering in Industry P Czech Ostrava 2 Compulsory study plan
2015/2016 (B2102) Mineral Raw Materials (3902R064) System Engineering in Industry K Czech Ostrava 2 Compulsory study plan
2015/2016 (B2102) Mineral Raw Materials (3902R064) System Engineering in Industry K Czech Most 2 Compulsory study plan

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner