BPM_STAE Statistics for economists

Faculty of Economics and Administration
Autumn 2024
Extent and Intensity
2/2/0. 8 credit(s). Type of Completion: zk (examination).
In-person direct teaching
Teacher(s)
Ing. Mgr. Vlastimil Reichel, Ph.D. (lecturer)
Ing. Mgr. Vlastimil Reichel, Ph.D. (seminar tutor)
doc. Ing. Daniel Němec, Ph.D. (seminar tutor)
Mgr. Bc. Martin Chvátal, Ph.D. (seminar tutor)
Ing. Matouš Cabalka (seminar tutor)
Bc. Eliška Lindovská (seminar tutor)
Bc. Dobruše Lukášová (seminar tutor)
Mgr. Petra Ráboňová, Ph.D. (seminar tutor)
Bc. Aneta Žáčková (seminar tutor)
Bc. Alex Kejval (seminar tutor)
Ing. Alexander Lipka (seminar tutor)
Ing. Lukáš Kokrda (assistant)
Guaranteed by
Ing. Mgr. Vlastimil Reichel, Ph.D.
Division of Applied Mathematics and Computer Science – Faculty of Economics and Administration
Contact Person: Lenka Hráčková
Supplier department: Division of Applied Mathematics and Computer Science – Faculty of Economics and Administration
Timetable
Tue 10:00–11:50 P101, except Tue 17. 9., except Tue 5. 11.
  • Timetable of Seminar Groups:
BPM_STAE/01: Mon 8:00–9:50 VT202, except Mon 16. 9., except Mon 4. 11., M. Chvátal, A. Kejval
BPM_STAE/02: Mon 12:00–13:50 VT206, except Mon 16. 9., except Mon 4. 11., M. Chvátal, A. Kejval
BPM_STAE/03: Tue 8:00–9:50 VT206, except Tue 17. 9., except Tue 5. 11., P. Ráboňová
BPM_STAE/04: Tue 12:00–13:50 VT206, except Tue 17. 9., except Tue 5. 11., V. Reichel
BPM_STAE/05: Tue 12:00–13:50 VT202, except Tue 17. 9., except Tue 5. 11., A. Žáčková
BPM_STAE/06: Tue 14:00–15:50 VT202, except Tue 17. 9., except Tue 5. 11., A. Žáčková
BPM_STAE/07: Tue 18:00–19:50 VT314, except Tue 17. 9., except Tue 5. 11., D. Němec
BPM_STAE/08: Wed 8:00–9:50 VT314, except Wed 18. 9., except Wed 6. 11., D. Lukášová
BPM_STAE/09: Wed 8:00–9:50 VT202, except Wed 18. 9., except Wed 6. 11., M. Cabalka
BPM_STAE/10: Wed 10:00–11:50 VT314, except Wed 18. 9., except Wed 6. 11., D. Lukášová
BPM_STAE/11: Wed 14:00–15:50 VT314, except Wed 18. 9., except Wed 6. 11., M. Chvátal, A. Lipka
BPM_STAE/12: Wed 14:00–15:50 VT202, except Wed 18. 9., except Wed 6. 11., M. Cabalka
BPM_STAE/13: Wed 16:00–17:50 VT202, except Wed 18. 9., except Wed 6. 11., E. Lindovská
BPM_STAE/14: Wed 18:00–19:50 VT202, except Wed 18. 9., except Wed 6. 11., E. Lindovská
BPM_STAE/15: Thu 8:00–9:50 VT206, except Thu 19. 9., except Thu 7. 11., P. Ráboňová
BPM_STAE/16: Thu 10:00–11:50 VT206, except Thu 19. 9., except Thu 7. 11., P. Ráboňová
BPM_STAE/17: Thu 14:00–15:50 VT206, except Thu 19. 9., except Thu 7. 11., M. Cabalka
BPM_STAE/18: Thu 16:00–17:50 VT314, except Thu 19. 9., except Thu 7. 11., M. Cabalka
BPM_STAE/19: Thu 18:00–19:50 VT202, except Thu 19. 9., except Thu 7. 11., M. Cabalka
BPM_STAE/E20: No timetable has been entered into IS. V. Reichel, Skupina určená pro studenty na ERASMU
Prerequisites (in Czech)
((! BPM_STA1 Statistics 1 )||(! BPM_STA2 Statistics 2 )) && !SEMESTR(1)
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
there are 9 fields of study the course is directly associated with, display
Course objectives
The aim of the course is to provide students with fundamental skills in utilizing statistical methods applicable in economics, finance, or business. Within the course, students will acquire knowledge of the basics of statistical analysis, enabling them to understand specialized texts in the fields of economics, finance, or business.
The course begins with an introduction to systematic data handling and the concepts of probability in statistics. These methods are discussed in some depth, using illustrative examples from various areas where they can be applied. Attention is given to proper experimental design and data collection, as well as the careful interpretation of results obtained from data. The introduction to the course gradually transitions to dealing with uncertainty when assessing posed questions. Students will also learn to formulate and evaluate hypotheses needed for their own research.
Upon completing the course, students will be able to apply basic statistical knowledge on a user application basis, which can be further developed in related subjects tailored to their study program.
Learning outcomes
The course is designed for students to understand the utility of statistics and to gain practical experience in using standard statistical tools. Upon completing the course, students will:
be able to apply these tools in creating and evaluating basic statistical surveys or experiments in the context of real-world economic issues,
critically assess the results and conclusions of others using basic statistical tools,
acquire the necessary foundations for further studies (such as econometrics, data analysis and visualization, etc.),
gain an overview of the breadth and possibilities of advanced techniques covered in subsequent and advanced courses.
Syllabus
  • Introduction to Statistics, Basic Concepts, Types of Variables, Cross-Sectional Data and Time Series, Population and Sampling, Experimental Design
  • Data Organization and Visualization (Qualitative and Quantitative)
  • Descriptive Numeric Statistics
  • Introduction to Probability
  • Discrete Random Variables and Their Probability Distributions
  • Continuous Random Variables and the Normal Distribution
  • Sampling Distributions
  • Estimation of Means and Frequencies (Proportions)
  • Hypothesis Testing (Introduction, Basic Principles, Illustration of Tests about Mean and Proportion)
  • Hypothesis Testing (Illustration of Estimation and Hypothesis Testing for Two Populations)
  • Chi-Square Test, Goodness of Fit Test, Independence Test, Homogeneity Test
Literature
    required literature
  • MANN, Prem S. Introductory statistics. Ninth edition. Hoboken: Wiley, 2019, 171 stran. ISBN 9781119148296. info
Teaching methods
Lectures, Exercises, Group Homework
Assessment methods
The final grade includes the following components: Activity during tutorials, group homework, and an exam.
To be admitted to the exam, students must earn 25 points in total from activities A) and B).
A) Activity in seminar groups - Students will have access to leaflets with examples that will be solved during tutorials. Scored activities will emphasize students' preparation and their willingness to cooperate in solving the problems. Students can earn up to 20 points from the tutorials.
B) Completion of two ongoing projects - Students will work in groups of four to solve two ongoing tasks corresponding to individual tutorials. The project will be designed to link individual tutorials into a whole and provide students with an overview of the additive material being taught. Tutors will assist students in completing the tasks and provide guidance when needed. Students can earn up to 30 points from these assignments. The condition for a successful exam pass is to earn 25 points.
C) The exam will be in the form of a 50-point test and will primarily cover the material necessary to solve exercises from the Supplementary exercises section in the Mann textbook. To a lesser extent, the material required for the Advanced exercises section in the Mann textbook will also be included in the exam.
The condition for successfully completing the course is to achieve a minimum of 60 points from sections A) + B) + C), while adhering to the minimum point thresholds set above.
Conditions for students participating in ERASMUS in the given semester:
The condition for admission to the exam is to achieve 25 points in total from activities A) and B).
A) The student is required to independently study lectures and tutorials.
B) Completion of two projects – student will independently solve two tasks corresponding to individual tutorials. The project will be designed so that each tutorial is connected into a whole, giving students an overview of the additive taught material. Tutors will assist students during the task completion and guide them if necessary. A student can earn up to 50 points from the tasks. The deadline for submission will be arranged individually between the student and the supervisor at the begining of semester.
The condition is to successfully pass the exam, meaning achieving 25 points.
C) The exam will be in the form of a 50-point test and will mainly cover the material necessary for successful solving of exercises from the Supplementary exercises section in the Mann textbook. To a lesser extent, the material necessary for successful solving of exercises from the Advanced exercises section in the Mann textbook will also be tested.
The condition is to successfully pass the exam, meaning achieving 25 points.
The condition for successfully completing the subject is to achieve at least 60 points from parts A) + B) + C) while adhering to the above-defined minimum point thresholds.
Language of instruction
Czech
Further comments (probably available only in Czech)
Study Materials
The course is taught annually.
General note: Přednášky jsou dostupné online a ze záznamu.
The course is also listed under the following terms Spring 2025.
  • Enrolment Statistics (recent)
  • Permalink: https://is.muni.cz/course/econ/autumn2024/BPM_STAE