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ECTS Course Overview



Statistics A

* Exchange students do not have to consider this information when selecting suitable courses for an exchange stay.

Course Unit Code151-0503/06
Number of ECTS Credits Allocated5 ECTS credits
Type of Course Unit *Choice-compulsory
Level of Course Unit *First Cycle
Year of Study *
Semester when the Course Unit is deliveredWinter Semester
Mode of DeliveryFace-to-face
Language of InstructionEnglish
Prerequisites and Co-Requisites Course succeeds to compulsory courses of previous semester
Name of Lecturer(s)Personal IDName
FRI02doc. Ing. Václav Friedrich, Ph.D.
S1A20prof. RNDr. Dana Šalounová, Ph.D.
Summary
Learning Outcomes of the Course Unit
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.
Course Contents
1. Statistics and Statistical Thinking
2. Data Sets, Variables and Measures
3. Describing Data Sets I - Distribution Tables and Charts
4. Describing Data Sets II - Central Tendency and Variability
5. Statistics for Grouped Data, Predictors and Outcomes
6. Probability and Probability Calculations
7. Random Variables - Binomial and Uniform Distribution
8. Normal Distribution, Limit Laws
9. Sample Survey, Parameters Estimates
10. Statistical Hypotheses Testing
11. Dependency in Contingency Tables
12. Correlation and Regression
Recommended or Required Reading
Required Reading:
Teaching material of respective teachers.
Teaching material of respective teachers.
Recommended Reading:
ANDERSON, David Ray, Dennis J. SWEENEY a Thomas Arthur WILLIAMS. Statistics for business and economics. 11th ed., rev. Mason: South-Western Cengage Learning, c2012. ISBN 978-0-538-48164-9.

ROSS, Sheldon M. Introduction to probability and statistics for engineers and scientists. 4th ed. Amsterdam: Elsevier/Academic Press, c2009. ISBN 978-0-12-370483-2.

FREUND, Rudolf Jakob, William J. WILSON a Donna L. MOHR. Statistical methods. 3rd ed. Burlington: Elsevier/Academic Press, c2010. ISBN 978-0-12-374970-3.
ANDERSON, David Ray, Dennis J. SWEENEY a Thomas Arthur WILLIAMS. Statistics for business and economics. 11th ed., rev. Mason: South-Western Cengage Learning, c2012. ISBN 978-0-538-48164-9.

ROSS, Sheldon M. Introduction to probability and statistics for engineers and scientists. 4th ed. Amsterdam: Elsevier/Academic Press, c2009. ISBN 978-0-12-370483-2.

FREUND, Rudolf Jakob, William J. WILSON a Donna L. MOHR. Statistical methods. 3rd ed. Burlington: Elsevier/Academic Press, c2010. ISBN 978-0-12-374970-3.
Planned learning activities and teaching methods
Lectures, Tutorials
Assesment methods and criteria
Tasks are not Defined