151-0303/02 – Statistics A (Stat A)

 Gurantor department Department of Mathematical Methods in Economics Credits 5 Subject guarantor prof. RNDr. Dana Šalounová, Ph.D. Subject version guarantor prof. RNDr. Dana Šalounová, Ph.D. Study level undergraduate or graduate Requirement Choice-compulsory Year 1 Semester summer Study language English Year of introduction 2003/2004 Year of cancellation 2011/2012 Intended for the faculties EKF Intended for study types Bachelor
Instruction secured by
FRI02 doc. Ing. Václav Friedrich, Ph.D.
FUN01 Mgr. Taťána Funioková, Ph.D.
S1A20 prof. RNDr. Dana Šalounová, 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
Individual consultations
Tutorials
Other activities

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, David Ray, Dennis J. SWEENEY a Thomas Arthur WILLIAMS. Modern business statistics with Microsoft Office Excel. 5th ed. Stamford: Cengage Learning, c2015. ISBN 978-1-305-08218-2. 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

Lectures Tutorials Tests Exam

Other requirements

Lecturer Tutorials Tests Exam

Prerequisities

Subject codeAbbreviationTitleRequirement
151-0300 Mat A Mathematics A 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: 1960/1961 Summer semester, validity until: 2010/2011 Summer semester)
Min. number of points
Exercises evaluation and Examination Credit and Examination 100 (100) 51
Exercises evaluation Credit 45 (45) 0
Project Project 15  0
Written exam Written test 30  0
Examination Examination 55 (55) 0
Written examination Written examination 55  0
Mandatory attendence parzicipation:

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2008/2009 (B6209) Systems Engineering and Informatics P Czech Ostrava 1 Choice-compulsory study plan
2008/2009 (B6202) Economic Policy and Administration (6202R010) Finance (00) Finance P Czech Ostrava 2 Choice-compulsory study plan
2008/2009 (B6202) Economic Policy and Administration (6202R027) National Economy P Czech Ostrava 2 Choice-compulsory study plan
2008/2009 (B6202) Economic Policy and Administration (6202R040) Regional Development P Czech Ostrava 2 Choice-compulsory study plan
2008/2009 (B6202) Economic Policy and Administration (6202R055) Public Economics and Administration (00) Public Economics and Administration P Czech Ostrava 2 Choice-compulsory study plan
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