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Statistics B

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

Course Unit Code151-0534/02
Number of ECTS Credits Allocated5 ECTS credits
Type of Course Unit *Compulsory
Level of Course Unit *Second Cycle
Year of Study *First Year
Semester when the Course Unit is deliveredWinter Semester
Mode of DeliveryFace-to-face
Language of InstructionEnglish
Prerequisites and Co-Requisites There are no prerequisites or co-requisites for this course unit
Name of Lecturer(s)Personal IDName
FRI02doc. Ing. Václav Friedrich, Ph.D.
FUN01Mgr. Taťána Funioková, Ph.D.
Summary
Statistics is an integral part of curricula at the economic faculties. It is also the necessary prerequisite to study other economic subjects. In the course Statistics B the knowledge of statistics and probability theory obtained in the bachelor‘s study is extended. The students will get acquainted with the system of economic indicators used in the Czech Republic and the EU, they will learn to process and analyse statistical data using methods of descriptive statistics and statistical induction (statistical estimates, tests), which are the basis of many techniques used in economy and business (market research, production planning, quality control, managerial decision making and forecasting, personnel policy, etc.). When working with data, appropriate statistical software is used.
Learning Outcomes of the Course Unit
The main objective of the course Statistics B is not only to learn basic knowledge of statistics, procedures and methods, but also to extend logical thinking.
Upon successful completion of this course, students will acquire the following knowledge, skills and abilities:
• they will gain the ability to understand data in relation to real world problems;
• they will understand the uncertainty and variability of processes and their influence on decision making;
• they will learn to analyse problems, propose a solution procedure, generalize the conclusions and evaluate the correctness of the results with respect to the given conditions;
• they will be able to use appropriate statistical methods to find answers to questions and solutions of selected economic problems;
• they will understand that mastery of statistical methods is necessary for every graduate of the Faculty of Economics.
Course Contents
1. Population and random sampling.
2. Distribution of random sampling characteristics.
3. Estimates of population parameters.
4. Testing of statistical hypotheses.
5. One-sample parametric statistical tests.
6. Two-sample comparative parametric tests.
7. Analysis of variance (ANOVA).
8. Selected non-parametric tests.
9. Measurement of independence of categorical variables.
10. Simple linear correlation and regression.
11. Multiple linear regression and correlation.
12. Nonlinear regression models.
13. Time series analysis.
Recommended or Required Reading
Required Reading:
CAMM, J. D. et all. Statistics for business and economics. 15th Edition. Boston: Cengage Learning, 2023. ISBN 978-0357715857.
ROWNTREE, D. Statistics without Tears: An Introduction for Non-Mathematicians. London: Penguin UK, 2018. ISBN 978-0141987491.
ZAIONTZ C. Real Statistics Using Excel Succinctly. [online] Morrisville: Syncfusion, 2015. ISBN 978-1-64200-078-8. Available from: https://www.syncfusion.com/succinctly-free-ebooks/statistics.
CAMM, J. D. et all. Statistics for business and economics. 15th Edition. Boston: Cengage Learning, 2023. ISBN 978-0357715857.
ROWNTREE, D. Statistics without Tears: An Introduction for Non-Mathematicians. London: Penguin UK, 2018. ISBN 978-0141987491.
ZAIONTZ C. Real Statistics Using Excel Succinctly. [online] Morrisville: Syncfusion, 2015. ISBN 978-1-64200-078-8. Available from: https://www.syncfusion.com/succinctly-free-ebooks/statistics.
Recommended Reading:
ANDERSON, D. et all. Statistics for business and economics. 5th ed. Boston: Cengage Learning EMEA, 2020. ISBN 978-1473768451.
SALKIND, N. J. and B. B. FREY. Statistics for People Who (Think They) Hate Statistics: Using Microsoft Excel. Fifth Edition. Thousand Oaks: SAGE, 2021. ISBN 978-1071803882.
FROST, J. Hypothesis Testing: An Intuitive Guide for Making Data Driven Decisions. State College (PA): Statistics by Jim Publishing, 2020. ISBN 978-1735431154.
ANDERSON, D. et all. Statistics for business and economics. 5th ed. Boston: Cengage Learning EMEA, 2020. ISBN 978-1473768451.
SALKIND, N. J. and B. B. FREY. Statistics for People Who (Think They) Hate Statistics: Using Microsoft Excel. Fifth Edition. Thousand Oaks: SAGE, 2021. ISBN 978-1071803882.
FROST, J. Hypothesis Testing: An Intuitive Guide for Making Data Driven Decisions. State College (PA): Statistics by Jim Publishing, 2020. ISBN 978-1735431154.
Planned learning activities and teaching methods
Lectures, Individual consultations, Tutorials
Assesment methods and criteria
Task TitleTask TypeMaximum Number of Points
(Act. for Subtasks)
Minimum Number of Points for Task Passing
Credit and ExaminationCredit and Examination100 (100)51
        CreditCredit45 (45)23
                Summary testWritten test30 16
                ProjectsProject15 7
        ExaminationExamination55 (55)28
                Practical partWritten examination40 20
                Theoretical partWritten examination15 8