BPM_STAE Statistics for economists

Faculty of Economics and Administration
Spring 2025
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. Matouš Cabalka (seminar tutor)
Mgr. Bc. Martin Chvátal, Ph.D. (seminar tutor)
Ing. Mgr. Markéta Matulová, Ph.D. (seminar tutor)
Mgr. Petra Ráboňová, Ph.D. (seminar tutor)
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
Prerequisites (in Czech)
(! BPM_STA1 Statistics 1 )||(! BPM_STA2 Statistics 2 )
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 11 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.
Language of instruction
Czech
Further comments (probably available only in Czech)
The course is taught annually.
The course is taught: every week.
General note: Přednášky jsou dostupné online a ze záznamu.
The course is also listed under the following terms Autumn 2024.
  • Enrolment Statistics (recent)
  • Permalink: https://is.muni.cz/course/econ/spring2025/BPM_STAE