151-0503/03 – Statistics A (StatA)

Gurantor departmentDepartment of Mathematical Methods in EconomicsCredits6
Subject guarantorprof. RNDr. Dana Šalounová, Ph.D.Subject version guarantorRNDr. Matěj Turčan, Ph.D.
Study levelundergraduate or graduateRequirementCompulsory
Year1Semestersummer
Study languageEnglish
Year of introduction2009/2010Year of cancellation2010/2011
Intended for the facultiesEKFIntended for study typesBachelor
Instruction secured by
LoginNameTuitorTeacher giving lectures
TUR30 RNDr. Matěj Turčan, Ph.D.
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 -to 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

Předmět představuje vstupní kurs do problematiky pravděpodobnosti a statistiky. Poskytuje základy k dovednosti popisovat náhodné procesy v ekonomii pomocí náhodných proměnných. Seznamuje se základy deskriptivní statistiky, statistické indukce, regresní analýzy, korelační analýzy.

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. Ross, S.M.: Introduction to Probability and Statistics for Engineers and Scientists. Academic Press/Elsevier, 2009, ISBN 9780123704832. Freund, R., Mohr, D., Wilson, W.: Statistical Methods, Elsevier, 2010. ISBN 978-012-374970-3.

Way of continuous check of knowledge in the course of semester

Lectures Tutorials Tests Exam

E-learning

Other requirements

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.

Subject syllabus:

1. Statistics, Statistical Data – Classification, Collection, Data Sources, Population Versus Sample, Stem and Leaf Diagram 2. Data Presentation, Set of Values of One Variable - Range, Frequency Distribution, Cumulative, Relative, Relative Cumulative Frequencies and Its Graphs 3. Descriptive Measures for One Dimensional Statistical Set of Data, Exploratory Data Analysis 4. Algebra of Events, Concept of Probability 5. Probability Theory, Succession of Independent Events, Total Probability, Bayes´ Rule 6. Random Variable (Types of Random Variables, Distribution Function, Probability Function, Density Function) and Discrete Probability Distributions (Uniform, Binomial, Hypergeometric, Pascal´s, Poisson´s). 7. Continuous Probability Distributions (Uniform, Exponential, Normal,) Approximation of Binomial Distribution 8. Statistical Inference, Sampling Theory, Limit Theorem, Estimation Theory (Point Estimates, Interval Estimates) 9. Tests of Hypotheses, One Sample Parametric Tests for Mean and Variance 10. Bivariate Data and Correlation Analysis, Correlation Coefficient 11. Simple Linear Regression, Determination Coefficient 12. Time Series Analysis, Components, Combining the Components 13. Index Numbers, Price and Quantity Indexes

Conditions for subject completion

Full-time form (validity from: 2009/2010 Summer 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  23
        Examination Examination 55  6
Mandatory attendence parzicipation:

Show history

Occurrence in study plans

Academic yearProgrammeField of studySpec.ZaměřeníFormStudy language Tut. centreYearWSType of duty
2009/2010 (B6208) Economics and Management (6208R174) European Business Studies P Czech Ostrava 1 Compulsory study plan

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner