# 151-0009/03 – Master's Statistics for Economists (ISE)

 Gurantor department Department of Mathematical Methods in Economics Credits 5 Subject guarantor doc. Ing. Václav Friedrich, Ph.D. Subject version guarantor doc. Ing. Václav Friedrich, Ph.D. Study level undergraduate or graduate Requirement Compulsory Year 1 Semester winter Study language English Year of introduction 2024/2025 Year of cancellation Intended for the faculties EKF Intended for study types Follow-up Master
Instruction secured by
FRI02 doc. Ing. Václav Friedrich, Ph.D.
FUN01 Mgr. Taťána Funioková, Ph.D.
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Credit and Examination 2+2

### Subject aims expressed by acquired skills and competences

The main objective of the subject is to introduce students to the most commonly used statistical methods and their application to solve economic problems, but also to improve their logical thinking. On successful completion of the course, students will have acquired the following knowledge, skills and abilities - learn to use methods for processing numerical and categorical data and acquire the ability to understand data in relation to real-world problems; - understand the uncertainty and variability of real-world processes and their impact on decision making; - learn how to analyse problems, design solutions, generalise conclusions and evaluate the validity of results in relation to given conditions; - acquire the ability to select and apply appropriate statistical methods to answer questions and solve selected economic problems; - be able to use selected statistical software to analyse data from real economic problems; - understand that mastering statistical methods is necessary for every graduate of the Faculty of Economics.

Lectures

### Summary

Statistics is an integral part of the curricula of economics faculties. It is also a necessary prerequisite for the study of other economic subjects. The subject Master's Statistics for Economists builds on the knowledge of statistics and probability acquired in the Bachelor's programme. Students learn to process and analyse statistical data using descriptive statistics and statistical induction (statistical estimation, tests), which are the basis of many techniques used in economics 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.

### Way of continuous check of knowledge in the course of semester

active participation in exercises completion and electronic submission of ongoing assignments verification of practical skills through a continuous test combined examination - theoretical and practical part

### E-learning

The course is supported by an interactive course in the LMS Moodle. Ongoing assignments are submitted and assessed via LMS Moodle.

### Other requirements

Undergraduate knowledge of statistics and probability (e.g. Statistics for Economists). Intermediate level skills in Microsoft Excel (ECDL).

### Prerequisities

Subject has no prerequisities.

### Co-requisities

Subject has no co-requisities.

### Subject syllabus:

1. Basics of descriptive statistics - review. 2. Population and sampling. 3. Estimation of population parameters. 4. Testing statistical hypotheses. 5. Two sample parametric tests. 6. Nonparametric comparison tests. 7. Analysis of variance ANOVA. 8. Selected nonparametric tests. 9. Measuring the dependence of categorical variables. 10. Simple linear correlation and regression. 11. Estimating and testing regression models. 12. Multiple and nonlinear regression models. 13. Research methods and statistics.

### Conditions for subject completion

Full-time form (validity from: 2023/2024 Winter semester)
Min. number of pointsMax. počet pokusů
Credit and Examination Credit and Examination 100 (100) 51
Credit Credit 45  23
Examination Examination 55  28 3
Mandatory attendence participation: Attendance at lectures is recommended. Exercises are compulsory. Excused absences are tolerated for two exercises (4 hours) per semester. Credit test dates are compulsory for all students.

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Conditions for subject completion and attendance at the exercises within ISP: Students with an Individual Study Plan (ISP) have the same study obligations as other students. In justified cases, the teacher may increase the tolerated absence at the seminars but up to 50%.

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### Occurrence in study plans

Academic yearProgrammeBranch/spec.Spec.ZaměřeníFormStudy language Tut. centreYearWSType of duty
2024/2025 (N0311A050012) Applied economics (S01) International Economic Relations P Czech Ostrava 1 Compulsory study plan
2024/2025 (N0412A050005) Finance P English Ostrava 1 Compulsory study plan
2024/2025 (N0413A050014) Economics and Management (S03) Economics and Law in Business P Czech Ostrava 1 Compulsory study plan
2024/2025 (N0413A050014) Economics and Management (S01) Business Administration P Czech Ostrava 1 Compulsory study plan
2024/2025 (N0413A050014) Economics and Management (S02) Management P Czech Ostrava 1 Compulsory study plan
2024/2025 (N0414A050001) Marketing and Business P Czech Ostrava 1 Compulsory study plan
2024/2025 (N0414A050002) Marketing and Business P English Ostrava 1 Compulsory study plan
2024/2025 (N0688A050001) Information and Knowledge Management KM P Czech Ostrava 1 Compulsory study plan
2024/2025 (N0311A050013) Applied Economics (S02) International Economic Relations P English Ostrava 1 Compulsory study plan
2024/2025 (N0311A050013) Applied Economics (S01) Economic Development P English Ostrava 1 Compulsory study plan

### Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner

### Assessment of instruction

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