151-0815/01 – Statistics A (Stat A)

Gurantor departmentDepartment of Mathematical Methods in EconomicsCredits5
Subject guarantorprof. RNDr. Dana Šalounová, Ph.D.Subject version guarantorRNDr. Pavel Hradecký, Ph.D.
Study levelundergraduate or graduateRequirementCompulsory
Year2Semesterwinter
Study languageCzech
Year of introduction1999/2000Year of cancellation2009/2010
Intended for the facultiesEKFIntended for study typesBachelor
Instruction secured by
LoginNameTuitorTeacher giving lectures
HRA30 RNDr. Pavel Hradecký, Ph.D.
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Lifelong Credit and Examination 1+0

Subject aims expressed by acquired skills and competences

To identify then problems that could be solved by statistical methods - To understand and describe the most efficient way of solving the problem - To obtain the knowledge how to do statistical survey i.e.how to collect the data – how to make random sample and how to arrange, classify and describe the data - To describe the information about random sample, calculate the basic desctiptive measures and to construct the graphs describing the distribution of the sample data - To understand the theoretical base of statistical methods the probability Theory, especially the noun of random variable - To distinguish and describe the basic types of random variable distributions - To understand and be able to use the basic methods of statistical inference - To use the knowlegde of sample mean and variance to formulate the test hypotheses about population mean and variance and make decisions - To undestand the principles and be able to find the point estimates and confidence intervals for the population mean and variance - To be able to make the decision using the previous knowledge and ability to solve the real problems

Teaching methods

Lectures
Project work

Summary

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

Compulsory literature:

Teaching materials 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

E-learning

Other requirements

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.

Subject syllabus:

Conditions for subject completion

Lifelong form (validity from: 1960/1961 Summer semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of pointsMax. počet pokusů
Exercises evaluation and Examination Credit and Examination 100 (145) 51 3
        Examination Examination 100  0 3
        Exercises evaluation Credit 45  0 3
Mandatory attendence participation:

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Conditions for subject completion and attendance at the exercises within ISP:

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Occurrence in study plans

Academic yearProgrammeBranch/spec.Spec.ZaměřeníFormStudy language Tut. centreYearWSType of duty
2008/2009 (B6208) Economics and Management (6202R049) Accounting and Taxes (02) Accounting and Taxes C Czech Ostrava 1 Compulsory study plan
2008/2009 (B6202) Economic Policy and Administration (6202R055) Public Economics and Administration (02) Public Economics and Administration C Czech Ostrava 2 Compulsory study plan
2008/2009 (B6208) Economics and Management (6208R020) Business Economics (02) Business Economics C Czech Ostrava 1 Compulsory study plan
2008/2009 (B6208) Economics and Management (6208R037) Management (02) Management C Czech Ostrava 1 Compulsory study plan
2007/2008 (B6202) Economic Policy and Administration (6202R055) Public Economics and Administration (02) Public Economics and Administration C Czech Ostrava 2 Compulsory study plan
2007/2008 (B6208) Economics and Management (6208R037) Management (02) Management C Czech Ostrava 1 Compulsory study plan
2007/2008 (B6208) Economics and Management (6208R020) Business Economics (02) Business Economics C Czech Ostrava 1 Compulsory study plan
2007/2008 (B6208) Economics and Management (6202R049) Accounting and Taxes (02) Accounting and Taxes C Czech Ostrava 1 Compulsory study plan
2006/2007 (B6202) Economic Policy and Administration (6202R055) Public Economics and Administration (02) Public Economics and Administration C Czech Ostrava 2 Compulsory study plan
2006/2007 (B6208) Economics and Management (6208R037) Management (02) Management C Czech Ostrava 1 Compulsory study plan
2006/2007 (B6208) Economics and Management (6208R020) Business Economics (02) Business Economics C Czech Ostrava 1 Compulsory study plan
2006/2007 (B6202) Economic Policy and Administration (6202R049) Accounting and Taxes (02) Accounting and Taxes C Czech Ostrava 2 Compulsory study plan

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner

Assessment of instruction

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