151-0333/01 – Statistics G (Stat G)

Gurantor departmentDepartment of Mathematical Methods in EconomicsCredits5
Subject guarantorprof. RNDr. Dana Šalounová, Ph.D.Subject version guarantorprof. RNDr. Dana Šalounová, Ph.D.
Study levelundergraduate or graduateRequirementCompulsory
Year2Semesterwinter
Study languageCzech
Year of introduction2012/2013Year of cancellation
Intended for the facultiesEKFIntended for study typesBachelor
Instruction secured by
LoginNameTuitorTeacher giving lectures
KUR138 Ing. Pavlína Forstová Kuráňová, Ph.D.
LOR21 Mgr. Kristina Lorencová
S1A20 prof. RNDr. Dana Šalounová, Ph.D.
VYS022 Ing. Štěpánka Vyskočilová
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Credit and Examination 2+2

Subject aims expressed by acquired skills and competences

The aim is -t o learn students how to present a set of data by tables, graphs and descriptive measures, - to make them acquainted with some parts of probability theory, especially with the term random variable, that is one of tools for description of uncertainity of real economical situations, - to make them able to use basic types of probability distributions for solution of practical cases, - to make them know the principles of some methods of statistical inference and use them for estimating and testing population parameters, - to give the view of regression and correlation analysis.

Teaching methods

Lectures
Tutorials

Summary

1. An algebra of events. Events, outcomes, the complement of an outcome. Operations over events. 2. Introduction to probability. The addition law. Mutually exclusive events, conditional probability, independent events, the multiplication law. Bayes´ theorem. 3. Discrete random variables. Summary of discrete probability distributions. 4. Continuous random variables. Summary of continuous probability distributions. 5. Special cases of continuous distributions. Limit theorems. 6. Data, measurment. Summarizing data, graphs. 7. Numerical descriptive statistics. Measures of location. 8. Measures of dispersion. 9. Characteristics of shape of data sets. 10. Bivariate data, correlation coefficient. 11. Simple linear regression. 12. Populations, samples, statistical inference - preview. 13. Estimations. Point estimators, interval estimation of population characteristics. 14. Hypothesis testing - principles.

Compulsory literature:

Teaching material of respective teachers.

Recommended literature:

Anderson, D.R., Sweeney, D.J., Williams, T.A.: Statistics for Business and Economics. South-Western, 2011, ISBN 978-053-848164-9. Sheldon, M.R.: Introduction to Probability and Statistics for Engineers and Scientists. Academic Press/Elsevier, 2009, ISBN 9780123704832.

Way of continuous check of knowledge in the course of semester

Zápočet: - aktivní účast na cvičeních, - zápočtová písemka během semestru (max. 30 bodů), - vypracování a včasné odevzdání projektu (max. 15 bodů). Minimální počet bodů k udělení zápočtu: 23 bodů. Podmínky pro individuální studijní plán: Totéž, účast ve cvičeních je možno nahradit vypracováním úloh zadaných vyučujícím.

E-learning

Další požadavky na studenta

Zápočet: - aktivní účast na cvičeních, - zápočtová písemka během semestru (max. 30 bodů), - vypracování a včasné odevzdání projektu (max. 15 bodů). Minimální počet bodů k udělení zápočtu: 23 bodů. Podmínky pro individuální studijní plán: Totéž, účast ve cvičeních je možno nahradit vypracováním úloh zadaných vyučujícím.

Prerequisities

Subject codeAbbreviationTitleRequirement
151-0342 Mat G Mathematics G Compulsory

Co-requisities

Subject has no co-requisities.

Subject syllabus:

1. An algebra of events. Events, outcomes, the complement of an outcome. Operations over events. 2. Introduction to probability. The addition law. Mutually exclusive events, conditional probability, independent events, the multiplication law. Bayes´ theorem. 3. Discrete random variables. Summary of discrete probability distributions. 4. Continuous random variables. Summary of continuous probability distributions. 5. Special cases of continuous distributions. Limit theorems. 6. Data, measurment. Summarizing data, graphs. 7. Numerical descriptive statistics. Measures of location. 8. Measures of dispersion. 9. Characteristics of shape of data sets. 10. Bivariate data, correlation coefficient. 11. Simple linear regression. 12. Populations, samples, statistical inference - preview. 13. Estimations. Point estimators, interval estimation of population characteristics. 14. Hypothesis testing - principles.

Conditions for subject completion

Full-time form (validity from: 2012/2013 Winter semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of points
Exercises evaluation and Examination Credit and Examination 100 (100) 51
        Exercises evaluation Credit 45 (45) 23
                Písemka Written test 30  0
                Projekt Project 15  0
        Examination Examination 55  21
Mandatory attendence parzicipation:

Show history

Occurrence in study plans

Academic yearProgrammeField of studySpec.FormStudy language Tut. centreYearWSType of duty
2017/2018 (B6202) Economic Policy and Administration (7202R020) Economics Journalism P Czech Ostrava 2 Compulsory study plan
2016/2017 (B6202) Economic Policy and Administration (7202R020) Economics Journalism P Czech Ostrava 2 Compulsory study plan
2015/2016 (B6202) Economic Policy and Administration (7202R020) Economics Journalism P Czech Ostrava 2 Compulsory study plan
2014/2015 (B6202) Economic Policy and Administration (7202R020) Economics Journalism P Czech Ostrava 2 Compulsory study plan
2013/2014 (B6202) Economic Policy and Administration (7202R020) Economics Journalism P Czech Ostrava 2 Compulsory study plan
2012/2013 (B6202) Economic Policy and Administration (7202R020) Economics Journalism P Czech Ostrava 2 Compulsory study plan

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner
Subject block without study plan - EKF - P - cs 2018/2019 Full-time Czech Optional EKF - Faculty of Economics stu. block