Gurantor department | Department of Mathematical Methods in Economics |

Subject guarantor | doc. Ing. Václav Friedrich, Ph.D. |

Study level | undergraduate or graduate |

Subject version | |||
---|---|---|---|

Version code | Year of introduction | Year of cancellation | Credits |

151-0334/01 | 1999/2000 | 5 | |

151-0334/02 | 2006/2007 | 2010/2011 | 5 |

151-0334/03 | 2019/2020 | 5 |

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.

Lectures

Individual consultations

Tutorials

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.

ANDERSON, D.R., D.J. SWEENEY and T.A. WILLIAMS. Statistics for business and economics. 14th Edition. Stamford: Cengage Learning, 2019. ISBN 78-1337901062.
ZAIONTZ C. Real Statistics Using Excel. www.real-statistics.com, 2018. Available from: http://www.real-statistics.com.
TAYLOR, S.A. Business Statistics: for Non-Mathematicians. Second Edition. Basingstoke & New York: Palgrave Macmillan, 2007. ISBN 978-0230506466.

NEWBOLD, P., W.L. CARLSON and B. THORNE. Statistics for business and economics. 8th ed. Harlow: Pearson Higher Education, 2012. ISBN 978-0273767060.
KVANLI, A.H., R.J. PAVUR and K.B. KEELING. Introduction to business statistics: a Microsoft Excel integrated approach. 7th Edition. Mason: Thomson South-Western, 2006. ISBN 978-0324320398.
MAZZOCCHI, M. Statistics for Marketing and Consumer Research. London: SAGE Publications, 2008. ISBN 978-1412911221.

Subject has no prerequisities.

Subject has no co-requisities.