151-0334 – Statistics B (Stat B)

Gurantor departmentDepartment of Mathematical Methods in Economics
Subject guarantordoc. Ing. Václav Friedrich, Ph.D.
Study levelundergraduate or graduate
Subject version
Version codeYear of introductionYear of cancellationCredits
151-0334/01 1999/2000 2020/2021 5
151-0334/02 2006/2007 2010/2011 5
151-0334/03 2019/2020 5

Subject aims expressed by acquired skills and competences

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.

Teaching methods

Lectures
Individual consultations
Tutorials

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.

Compulsory literature:

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 literature:

ANDERSON, D. et all. Statistics for business and economics. 5th ed. Boston: Cengage Learning EMEA, 2020. ISBN 978-1473768451. FROST, J. Hypothesis Testing: An Intuitive Guide for Making Data Driven Decisions. State College (PA): Statistics by Jim Publishing, 2020. ISBN 978-1735431154. SALKIND, N. J. and FREY, B. B. Statistics for People Who (Think They) Hate Statistics: Using Microsoft Excel. Fifth Edition. Thousand Oaks: SAGE, 2021. ISBN 978-1071803882.

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.